2 Commits

Author SHA1 Message Date
徐学颢
c8080d0815 add kick test script 2026-04-19 21:16:41 +08:00
徐学颢
2568fc1a9a add keyframe kick behavior, but still need to be improved 2026-04-18 18:42:06 +08:00
26 changed files with 1237 additions and 1155 deletions

1
.gitignore vendored
View File

@@ -15,7 +15,6 @@ dist/
*.npz *.npz
*.xml *.xml
*.json *.json
*.yaml
*.iml *.iml
*.pyc *.pyc
.TXT .TXT

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@@ -1,8 +1,10 @@
from dataclasses import Field
import logging import logging
import math from typing import Mapping
import numpy as np import numpy as np
from utils.math_ops import MathOps from utils.math_ops import MathOps
from world.commons.field import FIFAField, HLAdultField, Soccer7vs7Field
from world.commons.play_mode import PlayModeEnum, PlayModeGroupEnum from world.commons.play_mode import PlayModeEnum, PlayModeGroupEnum
@@ -17,37 +19,38 @@ class Agent:
based on the current state of the world and game conditions. based on the current state of the world and game conditions.
""" """
GOALIE_MODE_RECOVER = "RECOVER" BEAM_POSES: Mapping[type[Field], Mapping[int, tuple[float, float, float]]] ={
GOALIE_MODE_HOME = "HOME" FIFAField: {
GOALIE_MODE_INTERCEPT = "INTERCEPT" 1: (2.1, 0, 0),
GOALIE_MODE_CLEAR = "CLEAR" 2: (22.0, 12.0, 0),
GOALIE_MODE_PENALTY_READY = "PENALTY_READY" 3: (22.0, 4.0, 0),
GOALIE_MODE_CATCH_ATTEMPT = "CATCH_ATTEMPT" 4: (22.0, -4.0, 0),
GOALIE_MODE_CATCH_HOLD = "CATCH_HOLD" 5: (22.0, -12.0, 0),
GOALIE_MODE_CATCH_COOLDOWN = "CATCH_COOLDOWN" 6: (15.0, 0.0, 0),
7: (4.0, 16.0, 0),
8: (11.0, 6.0, 0),
9: (11.0, -6.0, 0),
10: (4.0, -16.0, 0),
11: (7.0, 0.0, 0),
},
HLAdultField: {
1: (7.0, 0.0, 0),
2: (2.0, -1.5, 0),
3: (2.0, 1.5, 0),
},
Soccer7vs7Field: {
1: (2.1, 0, 0),
2: (22.0, 12.0, 0),
3: (22.0, 4.0, 0),
4: (22.0, -4.0, 0),
5: (22.0, -12.0, 0),
6: (15.0, 0.0, 0),
7: (4.0, 16.0, 0)
}
}
GOALIE_ACTION_NONE = "NONE" TEAMMATE_INFO_MAX_AGE: float = 0.8
GOALIE_ACTION_SET = "SET" SUPPORT_DISTANCE_FROM_BALL: float = 1.2
GOALIE_ACTION_LOW_BLOCK_LEFT = "LOW_BLOCK_LEFT"
GOALIE_ACTION_LOW_BLOCK_RIGHT = "LOW_BLOCK_RIGHT"
GOALIE_INTENT_NONE = "NONE"
GOALIE_INTENT_SET = "SET"
GOALIE_INTENT_BLOCK_LEFT = "BLOCK_LEFT"
GOALIE_INTENT_BLOCK_RIGHT = "BLOCK_RIGHT"
GOALIE_INTENT_CATCH_CANDIDATE = "CATCH_CANDIDATE"
GOALIE_SET_BALL_SPEED_MIN = 0.2
GOALIE_SET_BALL_SPEED_MAX = 2.2
GOALIE_SET_BALL_HEIGHT_MAX = 0.22
GOALIE_SET_DISTANCE_MAX = 2.2
GOALIE_SET_LATERAL_MAX = 1.4
GOALIE_LOW_BLOCK_DISTANCE_MAX = 1.1
GOALIE_LOW_BLOCK_LATERAL_MAX = 0.7
GOALIE_SET_HOLD_TIME = 0.3
GOALIE_PENALTY_SET_DISTANCE_MAX = 0.9
GOALIE_CATCH_HOLD_TIME = 5.5
GOALIE_CATCH_COOLDOWN_TIME = 3.0
def __init__(self, agent): def __init__(self, agent):
""" """
@@ -60,20 +63,10 @@ class Agent:
self.agent: Base_Agent = agent self.agent: Base_Agent = agent
self.is_getting_up: bool = False self.is_getting_up: bool = False
self.goalie_mode: str = self.GOALIE_MODE_HOME self.is_kicking: bool = False
self.goalie_mode_since: float = 0.0 self.current_shot_target_point: np.ndarray | None = None
self.goalie_action_mode: str = self.GOALIE_ACTION_NONE self.target_point: np.ndarray = np.array([0.0, 0.0])
self.goalie_action_since: float = 0.0 self.my_pos: np.ndarray = self.agent.world.global_position[:2]
self.goalie_intent: str = self.GOALIE_INTENT_NONE
self.goalie_intent_since: float = 0.0
self.last_patrol_switch_time: float = 0.0
self.last_home_anchor: np.ndarray | None = None
self.last_home_anchor_change_time: float = 0.0
self.home_patrol_offset: float = 0.0
self.catch_ready_time: float = 0.0
self.catch_hold_started_at: float = -1.0
self.catch_cooldown_until: float = 0.0
self._head_scan_direction: float = 1.0
def update_current_behavior(self) -> None: def update_current_behavior(self) -> None:
""" """
@@ -90,413 +83,50 @@ class Agent:
PlayModeGroupEnum.ACTIVE_BEAM, PlayModeGroupEnum.ACTIVE_BEAM,
PlayModeGroupEnum.PASSIVE_BEAM, PlayModeGroupEnum.PASSIVE_BEAM,
): ):
is_left_team = True if self.agent.world.is_left_team is None else self.agent.world.is_left_team
beam_pose = self.agent.world.field.get_beam_pose(
self.agent.world.number,
is_left_team=is_left_team,
)
self.agent.server.commit_beam( self.agent.server.commit_beam(
pos2d=beam_pose[:2], pos2d=self.BEAM_POSES[type(self.agent.world.field)][self.agent.world.number][:2],
rotation=beam_pose[2], rotation=self.BEAM_POSES[type(self.agent.world.field)][self.agent.world.number][2],
) )
if self.is_getting_up or self.agent.skills_manager.is_ready(skill_name="GetUp"): if self.is_getting_up or self.agent.skills_manager.is_ready(skill_name="GetUp"):
self.is_getting_up = not self.agent.skills_manager.execute(skill_name="GetUp") self.is_getting_up = not self.agent.skills_manager.execute(skill_name="GetUp")
if self.agent.world.number == 1:
self._set_goalie_mode(self.GOALIE_MODE_RECOVER)
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
self._set_goalie_intent(self.GOALIE_INTENT_NONE)
elif self.agent.world.playmode is PlayModeEnum.PLAY_ON:
active_player_number = self.get_active_player_number()
if active_player_number == self.agent.world.number:
# self.carry_ball()
self.target_point = self.my_pos + np.array([4.0, 0.0])
self.kick_ball()
else:
# self.execute_support_behavior()
self.agent.skills_manager.execute("Neutral")
elif self.agent.world.playmode in (PlayModeEnum.BEFORE_KICK_OFF, PlayModeEnum.THEIR_GOAL, PlayModeEnum.OUR_GOAL): elif self.agent.world.playmode in (PlayModeEnum.BEFORE_KICK_OFF, PlayModeEnum.THEIR_GOAL, PlayModeEnum.OUR_GOAL):
self.agent.skills_manager.execute("Neutral") self.agent.skills_manager.execute("Neutral")
if self.agent.world.number == 1:
self._set_goalie_mode(self.GOALIE_MODE_HOME)
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
self._set_goalie_intent(self.GOALIE_INTENT_NONE)
elif self.agent.world.number == 1:
self.goalkeeper()
elif self.agent.world.playmode_group == PlayModeGroupEnum.THEIR_KICK:
self._defensive_set_piece()
elif self.agent.world.playmode_group == PlayModeGroupEnum.OUR_KICK:
if self._am_i_nearest_to_ball():
self.carry_ball()
else: else:
self.support_position() # self.execute_support_behavior()
else: self.kick_ball()
self._outfield_decide()
self._apply_head_tracking()
self.agent.robot.commit_motor_targets_pd() self.agent.robot.commit_motor_targets_pd()
# ------------------------------------------------------------------
# Ball search
# ------------------------------------------------------------------
BALL_STALE_THRESHOLD = 3.0
def _search_for_ball(self) -> None:
world = self.agent.world
my_pos = world.global_position[:2]
yaw = self.agent.robot.global_orientation_euler[2] if hasattr(self.agent.robot, "global_orientation_euler") else 0.0
self.agent.skills_manager.execute(
"Walk",
target_2d=my_pos,
is_target_absolute=True,
orientation=yaw + 60.0,
is_orientation_absolute=True,
)
# ------------------------------------------------------------------
# Head tracking
# ------------------------------------------------------------------
HEAD_YAW_MIN = -90.0
HEAD_YAW_MAX = 90.0
HEAD_PITCH_MIN = -20.0
HEAD_PITCH_MAX = 70.0
HEAD_SCAN_RANGE = 70.0
HEAD_SCAN_SPEED = 80.0 # deg per second
HEAD_SCAN_PITCH = 15.0
HEAD_TRACK_KP = 8.0
HEAD_TRACK_KD = 0.4
HEAD_HEIGHT = 0.56 # approximate head height above ground
def _apply_head_tracking(self) -> None:
world = self.agent.world
robot = self.agent.robot
if not hasattr(robot, "set_motor_target_position"):
return
ball_age = float("inf")
if world.ball_last_update_time is not None and world.server_time is not None:
ball_age = world.server_time - world.ball_last_update_time
if ball_age < 0.6:
ball_rel = world.ball_pos[:2] - world.global_position[:2]
yaw_deg = robot.global_orientation_euler[2]
local_2d = MathOps.rotate_2d_vec(ball_rel, -yaw_deg, is_rad=False)
target_yaw = math.degrees(math.atan2(local_2d[1], local_2d[0]))
horiz_dist = max(np.linalg.norm(local_2d), 0.1)
dz = world.ball_pos[2] - self.HEAD_HEIGHT
target_pitch = -math.degrees(math.atan2(dz, horiz_dist))
target_yaw = np.clip(target_yaw, self.HEAD_YAW_MIN, self.HEAD_YAW_MAX)
target_pitch = np.clip(target_pitch, self.HEAD_PITCH_MIN, self.HEAD_PITCH_MAX)
else:
dt = 0.02
if world.server_time and world.last_server_time:
dt = max(world.server_time - world.last_server_time, 0.005)
current_yaw = robot.motor_positions.get("he1", 0.0)
step = self.HEAD_SCAN_SPEED * dt * self._head_scan_direction
target_yaw = current_yaw + step
if target_yaw >= self.HEAD_SCAN_RANGE:
target_yaw = self.HEAD_SCAN_RANGE
self._head_scan_direction = -1.0
elif target_yaw <= -self.HEAD_SCAN_RANGE:
target_yaw = -self.HEAD_SCAN_RANGE
self._head_scan_direction = 1.0
target_pitch = self.HEAD_SCAN_PITCH
robot.set_motor_target_position("he1", target_yaw, kp=self.HEAD_TRACK_KP, kd=self.HEAD_TRACK_KD)
robot.set_motor_target_position("he2", target_pitch, kp=self.HEAD_TRACK_KP, kd=self.HEAD_TRACK_KD)
def _ball_age_safe(self) -> float:
world = self.agent.world
if hasattr(world, "ball_age"):
return world.ball_age
if world.ball_last_update_time is not None and world.server_time is not None:
return world.server_time - world.ball_last_update_time
return float("inf")
# ------------------------------------------------------------------
# Set piece handling
# ------------------------------------------------------------------
DEFENSIVE_OFFSETS: dict[int, tuple[float, float]] = {
2: (-14.0, 8.0),
3: (-10.0, 3.0),
4: (-10.0, -3.0),
5: (-14.0, -8.0),
6: (-6.0, 0.0),
7: (-18.0, 0.0),
}
def _defensive_set_piece(self) -> None:
world = self.agent.world
ball_2d = world.ball_pos[:2]
offset = self.DEFENSIVE_OFFSETS.get(world.number, (-14.0, 0.0))
target = ball_2d + np.array(offset, dtype=float)
half_x = world.field.get_length() / 2.0
half_y = world.field.get_width() / 2.0
target[0] = np.clip(target[0], -half_x + 1.0, half_x - 1.0)
target[1] = np.clip(target[1], -half_y + 1.0, half_y + 1.0)
dist_to_ball = float(np.linalg.norm(target - ball_2d))
min_dist = world.field.get_center_circle_radius()
if dist_to_ball < min_dist:
away_dir = target - ball_2d
norm = np.linalg.norm(away_dir)
if norm > 1e-6:
away_dir = away_dir / norm
else:
away_dir = np.array([-1.0, 0.0])
target = ball_2d + away_dir * min_dist
orientation = MathOps.target_abs_angle(
world.global_position[:2], ball_2d
)
self.agent.skills_manager.execute(
"Walk",
target_2d=target,
is_target_absolute=True,
orientation=orientation,
)
# ------------------------------------------------------------------
# Outfield coordination
# ------------------------------------------------------------------
NEAREST_HYSTERESIS = 0.5 # meters dead-zone to prevent flickering
TEAMMATE_FRESH_TIME = 2.0 # seconds — ignore teammates not seen recently
SUPPORT_OFFSETS: dict[int, tuple[float, float]] = {
2: (-8.0, 6.0),
3: (-5.0, 2.0),
4: (-5.0, -2.0),
5: (-8.0, -6.0),
6: (-2.0, 0.0),
7: (-12.0, 0.0),
}
def _am_i_nearest_to_ball(self) -> bool:
world = self.agent.world
if not hasattr(world, "our_team_players"):
return True
ball_2d = world.ball_pos[:2]
my_dist = float(np.linalg.norm(world.global_position[:2] - ball_2d))
now = world.server_time if world.server_time is not None else 0.0
for idx, teammate in enumerate(world.our_team_players):
unum = idx + 1
if unum == world.number or unum == 1:
continue
if teammate.last_seen_time is None:
continue
if now - teammate.last_seen_time > self.TEAMMATE_FRESH_TIME:
continue
mate_dist = float(np.linalg.norm(teammate.position[:2] - ball_2d))
if mate_dist < my_dist - self.NEAREST_HYSTERESIS:
return False
return True
def support_position(self) -> None:
world = self.agent.world
ball_2d = world.ball_pos[:2]
offset = self.SUPPORT_OFFSETS.get(world.number, (-8.0, 0.0))
target = ball_2d + np.array(offset, dtype=float)
half_x = world.field.get_length() / 2.0
half_y = world.field.get_width() / 2.0
target[0] = np.clip(target[0], -half_x + 1.0, half_x - 1.0)
target[1] = np.clip(target[1], -half_y + 1.0, half_y + 1.0)
orientation = MathOps.target_abs_angle(
world.global_position[:2], ball_2d
)
self.agent.skills_manager.execute(
"Walk",
target_2d=target,
is_target_absolute=True,
orientation=orientation,
)
def _outfield_decide(self) -> None:
if self._ball_age_safe() >= self.BALL_STALE_THRESHOLD:
self._search_for_ball()
elif self._am_i_nearest_to_ball():
self.carry_ball()
else:
self.support_position()
def carry_ball(self): def carry_ball(self):
their_goal_pos = np.array(self.agent.world.field.get_their_goal_position()[:2], dtype=float)
self._drive_ball_towards(their_goal_pos)
def goalkeeper(self) -> None:
world = self.agent.world
field = world.field
goal_x, _ = field.get_our_goal_position()
my_pos = world.global_position[:2]
now = self._current_time()
self._update_goalie_catch_state()
if world.playmode in (
PlayModeEnum.THEIR_PENALTY_KICK,
PlayModeEnum.THEIR_PENALTY_SHOOT,
):
self._set_goalie_mode(self.GOALIE_MODE_PENALTY_READY)
target_2d = self.compute_goalie_penalty_target()
self._set_goalie_intent(self.compute_goalie_intent())
if self.goalie_intent in (
self.GOALIE_INTENT_BLOCK_LEFT,
self.GOALIE_INTENT_BLOCK_RIGHT,
self.GOALIE_INTENT_CATCH_CANDIDATE,
):
self._execute_goalie_set()
return
if self.goalie_intent == self.GOALIE_INTENT_SET:
if np.linalg.norm(target_2d - my_pos) <= self.GOALIE_PENALTY_SET_DISTANCE_MAX:
self._execute_goalie_set()
else:
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
orientation = self.compute_goalie_orientation(target_2d)
self.agent.skills_manager.execute(
"Walk",
target_2d=target_2d,
is_target_absolute=True,
orientation=orientation,
)
return
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
orientation = self.compute_goalie_orientation(target_2d)
self.agent.skills_manager.execute(
"Walk",
target_2d=target_2d,
is_target_absolute=True,
orientation=orientation,
)
return
if world.playmode is PlayModeEnum.OUR_GOAL_KICK:
self._set_goalie_mode(self.GOALIE_MODE_CLEAR)
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
self._set_goalie_intent(self.GOALIE_INTENT_NONE)
self.goalie_clear_ball()
return
self._set_goalie_intent(self.compute_goalie_intent())
if (
self.goalie_action_mode == self.GOALIE_ACTION_SET
and now - self.goalie_action_since < self.GOALIE_SET_HOLD_TIME
and self.goalie_intent in (
self.GOALIE_INTENT_SET,
self.GOALIE_INTENT_BLOCK_LEFT,
self.GOALIE_INTENT_BLOCK_RIGHT,
self.GOALIE_INTENT_CATCH_CANDIDATE,
)
and not self.should_goalie_intercept()
):
self._execute_goalie_set()
return
if self.should_goalie_intercept():
if self.goalie_intent in (
self.GOALIE_INTENT_BLOCK_LEFT,
self.GOALIE_INTENT_BLOCK_RIGHT,
):
logger.debug("Goalie block intent fallback: using INTERCEPT/CLEAR instead of low-block keyframe.")
ball_pos = world.ball_pos[:2]
ball_in_penalty_area = world.field.is_inside_penalty_area(ball_pos, side="our")
ball_distance = np.linalg.norm(ball_pos - my_pos)
if self.goalie_mode == self.GOALIE_MODE_CLEAR:
if ball_in_penalty_area or ball_distance <= 1.2:
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
self.goalie_clear_ball()
return
if ball_distance <= 0.65:
self._set_goalie_mode(self.GOALIE_MODE_CLEAR)
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
self.goalie_clear_ball()
return
self._set_goalie_mode(self.GOALIE_MODE_INTERCEPT)
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
target_2d = self.compute_goalie_intercept_target()
orientation = self.compute_goalie_orientation(target_2d)
self.agent.skills_manager.execute(
"Walk",
target_2d=target_2d,
is_target_absolute=True,
orientation=orientation,
)
return
if self.goalie_intent in (
self.GOALIE_INTENT_SET,
self.GOALIE_INTENT_BLOCK_LEFT,
self.GOALIE_INTENT_BLOCK_RIGHT,
self.GOALIE_INTENT_CATCH_CANDIDATE,
):
target_2d = self.compute_goalie_home_target()
if np.linalg.norm(target_2d - my_pos) <= 0.45:
self._execute_goalie_set()
else:
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
orientation = self.compute_goalie_orientation(target_2d)
self.agent.skills_manager.execute(
"Walk",
target_2d=target_2d,
is_target_absolute=True,
orientation=orientation,
)
return
self._set_goalie_mode(self.GOALIE_MODE_HOME)
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
target_2d = self.compute_goalie_home_target()
orientation = self.compute_goalie_orientation(target_2d)
# When the keeper is already close to the goal line target, force a
# stable forward-facing posture. This avoids repeated twist-fall cycles
# caused by tiny sideways home-line corrections.
if abs(my_pos[0] - goal_x) <= 2.0 and np.linalg.norm(target_2d - my_pos) <= 0.9:
orientation = 0.0
self.agent.skills_manager.execute(
"Walk",
target_2d=target_2d,
is_target_absolute=True,
orientation=orientation,
)
def _drive_ball_towards(self, drive_target_2d: np.ndarray) -> None:
""" """
Minimal catch-ball behavior. Basic example of a behavior: moves the robot toward the goal while handling the ball.
All players share the same logic:
1. approach a point behind the ball
2. reposition with a lateral offset if they are close but not yet behind it
3. push the ball forward once they are aligned
""" """
target_point = self.target_point
ball_pos = self.agent.world.ball_pos[:2] ball_pos = self.agent.world.ball_pos[:2]
my_pos = self.agent.world.global_position[:2] my_pos = self.agent.world.global_position[:2]
ball_to_goal = drive_target_2d - ball_pos if self.kick_ball(target_point=target_point):
bg_norm = np.linalg.norm(ball_to_goal) return
if bg_norm <= 1e-6:
ball_to_goal_dir = np.array([1.0, 0.0])
else:
ball_to_goal_dir = ball_to_goal / bg_norm
lateral_dir = np.array([-ball_to_goal_dir[1], ball_to_goal_dir[0]]) ball_to_target = target_point - ball_pos
bt_norm = np.linalg.norm(ball_to_target)
if bt_norm == 0:
return
ball_to_target_dir = ball_to_target / bt_norm
back_offset = 0.40 dist_from_ball_to_start_carrying = 0.30
side_offset = 0.35 carry_ball_pos = ball_pos - ball_to_target_dir * dist_from_ball_to_start_carrying
push_distance = 0.80
approach_distance = 0.90
push_start_distance = 0.55
behind_margin = 0.08
angle_tolerance = np.deg2rad(20.0)
behind_point = ball_pos - ball_to_goal_dir * back_offset
push_target = ball_pos + ball_to_goal_dir * push_distance
my_to_ball = ball_pos - my_pos my_to_ball = ball_pos - my_pos
my_to_ball_norm = np.linalg.norm(my_to_ball) my_to_ball_norm = np.linalg.norm(my_to_ball)
@@ -505,281 +135,160 @@ class Agent:
else: else:
my_to_ball_dir = my_to_ball / my_to_ball_norm my_to_ball_dir = my_to_ball / my_to_ball_norm
cosang = np.dot(my_to_ball_dir, ball_to_goal_dir) cosang = np.dot(my_to_ball_dir, ball_to_target_dir)
cosang = np.clip(cosang, -1.0, 1.0) cosang = np.clip(cosang, -1.0, 1.0)
angle_diff = np.arccos(cosang) angle_diff = np.arccos(cosang)
aligned = (my_to_ball_norm > 1e-6) and (angle_diff <= angle_tolerance)
behind_ball = np.dot(my_pos - ball_pos, ball_to_goal_dir) < -behind_margin ANGLE_TOL = np.deg2rad(7.5)
desired_orientation = MathOps.vector_angle(ball_to_goal) aligned = (my_to_ball_norm > 1e-6) and (angle_diff <= ANGLE_TOL)
lateral_sign = np.sign(np.cross(ball_to_goal_dir, my_to_ball_dir)) behind_ball = np.dot(my_pos - ball_pos, ball_to_target_dir) < 0
if lateral_sign == 0: desired_orientation = MathOps.vector_angle(ball_to_target)
lateral_sign = 1.0 if (my_pos[1] - ball_pos[1]) >= 0 else -1.0
reposition_point = behind_point + lateral_dir * lateral_sign * side_offset if not aligned or not behind_ball:
self.agent.skills_manager.execute(
if my_to_ball_norm > approach_distance: "Walk",
target_2d = behind_point target_2d=carry_ball_pos,
orientation = None is_target_absolute=True,
elif not behind_ball: orientation=None if np.linalg.norm(my_pos - carry_ball_pos) > 2 else desired_orientation
target_2d = reposition_point )
orientation = None if np.linalg.norm(my_pos - reposition_point) > 0.8 else desired_orientation
elif not aligned and my_to_ball_norm > push_start_distance:
target_2d = behind_point
orientation = desired_orientation
else: else:
target_2d = push_target self.agent.skills_manager.execute(
"Walk",
target_2d=target_point,
is_target_absolute=True,
orientation=desired_orientation orientation=desired_orientation
)
if np.linalg.norm(target_2d - my_pos) <= 1e-4: def kick_ball(self, target_point=None):
target_2d = my_pos + ball_to_goal_dir * 0.30 if target_point is None:
target_point = self.target_point
target_point = np.asarray(target_point, dtype=float)[:2]
ball_pos = self.agent.world.ball_pos[:2]
my_pos = self.agent.world.global_position[:2]
ball_to_target = target_point - ball_pos
ball_to_target_dist = np.linalg.norm(ball_to_target)
if ball_to_target_dist <= 1e-6:
return False
if self.is_kicking:
if self.current_shot_target_point is None:
self.current_shot_target_point = target_point
active_target = self.current_shot_target_point
active_distance = np.linalg.norm(active_target - ball_pos)
self.is_kicking = not self.agent.skills_manager.execute(
"Kick", distance=active_distance
)
if not self.is_kicking:
self.current_shot_target_point = None
return True
my_to_ball = ball_pos - my_pos
my_to_ball_dist = np.linalg.norm(my_to_ball)
ball_to_target_dir = ball_to_target / ball_to_target_dist
behind_ball = np.dot(my_pos - ball_pos, ball_to_target_dir) < 0
me_to_ball_dir = ball_pos - my_pos
me_to_ball_dir_norm = np.linalg.norm(me_to_ball_dir)
desired_orientation = MathOps.vector_angle(me_to_ball_dir)
current_orientation = self.agent.robot.global_orientation_euler[2]
orientation_error = abs(
MathOps.normalize_deg(desired_orientation - current_orientation)
)
lateral_error_to_shot_line, _ = MathOps.distance_point_to_line(
p=my_pos,
a=ball_pos,
b=target_point,
)
kick_offset = MathOps.rotate_2d_vec(np.array([0.0, -0.1]), desired_orientation)
close_to_ball = my_to_ball_dist <= 0.24
good_orientation = orientation_error <= 8.0
good_lateral_offset = lateral_error_to_shot_line <= 0.16
can_shoot = (
close_to_ball
and behind_ball
and good_orientation
and good_lateral_offset
)
if not can_shoot:
prepare_offset = 0.1
prepare_pos = ball_pos - ball_to_target_dir * prepare_offset + kick_offset
self.agent.skills_manager.execute( self.agent.skills_manager.execute(
"Walk", "Walk",
target_2d=target_2d, target_2d=prepare_pos,
is_target_absolute=True, is_target_absolute=True,
orientation=orientation, orientation=desired_orientation,
) )
return True
def _current_time(self) -> float: self.current_shot_target_point = target_point
server_time = self.agent.world.server_time self.is_kicking = not self.agent.skills_manager.execute(
return 0.0 if server_time is None else float(server_time) "Kick", distance=ball_to_target_dist
def _set_goalie_mode(self, mode: str) -> None:
if self.goalie_mode == mode:
return
self.goalie_mode = mode
self.goalie_mode_since = self._current_time()
def _set_goalie_action_mode(self, mode: str) -> None:
if self.goalie_action_mode == mode:
return
self.goalie_action_mode = mode
self.goalie_action_since = self._current_time()
def _set_goalie_intent(self, intent: str) -> None:
if self.goalie_intent == intent:
return
self.goalie_intent = intent
self.goalie_intent_since = self._current_time()
def _orientation_to_ball(self, from_pos_2d: np.ndarray) -> float:
return MathOps.vector_angle(self.agent.world.ball_pos[:2] - from_pos_2d)
def compute_goalie_orientation(self, from_pos_2d: np.ndarray) -> float:
ball_pos = self.agent.world.ball_pos[:2]
ball_vec = ball_pos - from_pos_2d
if np.linalg.norm(ball_vec) < 1e-6:
return 0.0
orientation = MathOps.vector_angle(ball_vec)
return float(np.clip(orientation, -90.0, 90.0))
def compute_goalie_home_target(self) -> np.ndarray:
field = self.agent.world.field
ball_pos = self.agent.world.ball_pos[:2]
goal_x, _ = field.get_our_goal_position()
goal_half_width = field.get_goal_half_width()
raw_target = np.array(
[
goal_x + 0.8,
np.clip(
ball_pos[1] * 0.35,
-(goal_half_width - 0.35),
goal_half_width - 0.35,
),
],
dtype=float,
) )
if not self.is_kicking:
self.current_shot_target_point = None
return True
now = self._current_time() def get_active_player_number(self) -> int:
if self.last_home_anchor is None or np.linalg.norm(raw_target - self.last_home_anchor) > 0.05:
self.last_home_anchor = raw_target
self.last_home_anchor_change_time = now
self.last_patrol_switch_time = now
self.home_patrol_offset = 0.0
elif now - self.last_home_anchor_change_time >= 8.0 and now - self.last_patrol_switch_time >= 2.0:
self.home_patrol_offset = -0.15 if self.home_patrol_offset > 0 else 0.15
self.last_patrol_switch_time = now
target = np.copy(self.last_home_anchor)
target[1] = np.clip(
target[1] + self.home_patrol_offset,
-(goal_half_width - 0.20),
goal_half_width - 0.20,
)
return target
def compute_goalie_penalty_target(self) -> np.ndarray:
field = self.agent.world.field
ball_pos = self.agent.world.ball_pos[:2]
goal_x, _ = field.get_our_goal_position()
return np.array(
[
goal_x + 0.15,
np.clip(ball_pos[1] * 0.15, -1.3, 1.3),
],
dtype=float,
)
def _update_goalie_catch_state(self) -> None:
now = self._current_time()
if (
self.goalie_mode == self.GOALIE_MODE_CATCH_HOLD
and self.catch_hold_started_at >= 0.0
and now - self.catch_hold_started_at >= self.GOALIE_CATCH_HOLD_TIME
):
self._set_goalie_mode(self.GOALIE_MODE_CATCH_COOLDOWN)
self.catch_cooldown_until = now + self.GOALIE_CATCH_COOLDOWN_TIME
self.catch_hold_started_at = -1.0
if (
self.goalie_mode == self.GOALIE_MODE_CATCH_COOLDOWN
and now >= self.catch_cooldown_until
):
self._set_goalie_mode(self.GOALIE_MODE_HOME)
def can_attempt_goalie_catch(self) -> bool:
return False
def compute_goalie_intent(self) -> str:
if self.can_attempt_goalie_catch():
return self.GOALIE_INTENT_CATCH_CANDIDATE
if self.should_goalie_block_intent():
return self.select_goalie_block_intent()
if self.should_goalie_set():
return self.GOALIE_INTENT_SET
return self.GOALIE_INTENT_NONE
def should_goalie_set(self) -> bool:
world = self.agent.world world = self.agent.world
ball_pos = world.ball_pos ball_pos = world.ball_pos[:2]
server_time = world.server_time
my_num = world.number
my_pos = world.global_position[:2] my_pos = world.global_position[:2]
best_player_number = my_num
best_distance = np.linalg.norm(my_pos - ball_pos)
if not world.field.is_inside_penalty_area(ball_pos[:2], side="our"): for teammate_number, teammate in enumerate(world.our_team_players, start=1):
return False if teammate_number == my_num:
if ball_pos[2] > self.GOALIE_SET_BALL_HEIGHT_MAX: continue
return False
if world.ball_speed < self.GOALIE_SET_BALL_SPEED_MIN or world.ball_speed > self.GOALIE_SET_BALL_SPEED_MAX:
return False
if np.linalg.norm(ball_pos[:2] - my_pos) > self.GOALIE_SET_DISTANCE_MAX:
return False
if abs(ball_pos[1] - my_pos[1]) > self.GOALIE_SET_LATERAL_MAX:
return False
return True if teammate.last_seen_time is None or server_time is None:
continue
def should_goalie_block_intent(self) -> bool: info_age = server_time - teammate.last_seen_time
if info_age > self.TEAMMATE_INFO_MAX_AGE:
continue
teammate_pos = teammate.position[:2]
teammate_distance = np.linalg.norm(teammate_pos - ball_pos)
if teammate_distance + 1e-6 < best_distance:
best_distance = teammate_distance
best_player_number = teammate_number
elif abs(teammate_distance - best_distance) <= 1e-6:
best_player_number = min(best_player_number, teammate_number)
return best_player_number
def execute_support_behavior(self) -> None:
world = self.agent.world world = self.agent.world
ball_pos = world.ball_pos
my_pos = world.global_position[:2] my_pos = world.global_position[:2]
ball_pos = world.ball_pos[:2]
target_point = self.target_point
if not world.field.is_inside_penalty_area(ball_pos[:2], side="our"): ball_to_target = target_point - ball_pos
return False bt_norm = np.linalg.norm(ball_to_target)
if ball_pos[2] > self.GOALIE_SET_BALL_HEIGHT_MAX: if bt_norm <= 1e-6:
return False ball_to_target_dir = np.array([1.0, 0.0])
if world.ball_speed < self.GOALIE_SET_BALL_SPEED_MIN or world.ball_speed > self.GOALIE_SET_BALL_SPEED_MAX:
return False
if np.linalg.norm(ball_pos[:2] - my_pos) > self.GOALIE_LOW_BLOCK_DISTANCE_MAX:
return False
if abs(ball_pos[1] - my_pos[1]) > self.GOALIE_LOW_BLOCK_LATERAL_MAX:
return False
return True
def select_goalie_block_side(self) -> str:
ball_y = self.agent.world.ball_pos[1]
my_y = self.agent.world.global_position[1]
return "left" if (ball_y - my_y) >= 0.0 else "right"
def select_goalie_block_intent(self) -> str:
return (
self.GOALIE_INTENT_BLOCK_LEFT
if self.select_goalie_block_side() == "left"
else self.GOALIE_INTENT_BLOCK_RIGHT
)
def _execute_goalie_set(self) -> None:
self._set_goalie_action_mode(self.GOALIE_ACTION_SET)
skill_name = "GoalieSet" if self.agent.skills_manager.has_skill("GoalieSet") else "Neutral"
self.agent.skills_manager.execute(skill_name)
def predict_ball_goal_intersection(self, horizon_s: float = 1.2) -> np.ndarray | None:
field = self.agent.world.field
ball_pos = self.agent.world.ball_pos[:2]
ball_velocity = self.agent.world.ball_velocity_2d
goal_x, _ = field.get_our_goal_position()
if ball_velocity[0] >= -1e-6:
return None
time_to_goal_line = (goal_x - ball_pos[0]) / ball_velocity[0]
if time_to_goal_line <= 0.0 or time_to_goal_line > horizon_s:
return None
y_at_goal_line = ball_pos[1] + ball_velocity[1] * time_to_goal_line
if abs(y_at_goal_line) > field.get_goal_half_width() + 0.2:
return None
return np.array([goal_x, y_at_goal_line], dtype=float)
def should_goalie_intercept(self) -> bool:
if self._ball_age_safe() >= self.BALL_STALE_THRESHOLD:
return False
field = self.agent.world.field
ball_pos = self.agent.world.ball_pos[:2]
my_pos = self.agent.world.global_position[:2]
ball_distance = np.linalg.norm(ball_pos - my_pos)
ball_in_penalty_area = field.is_inside_penalty_area(ball_pos, side="our")
if field.is_inside_goalie_area(ball_pos, side="our"):
return True
if ball_in_penalty_area and self.predict_ball_goal_intersection() is not None:
return True
if ball_in_penalty_area and ball_distance < 1.6:
return True
return False
def compute_goalie_intercept_target(self) -> np.ndarray:
field = self.agent.world.field
ball_pos = self.agent.world.ball_pos[:2]
our_goal_pos = np.array(field.get_our_goal_position()[:2], dtype=float)
goal_to_ball = ball_pos - our_goal_pos
goal_to_ball_norm = np.linalg.norm(goal_to_ball)
if goal_to_ball_norm <= 1e-6:
goal_to_ball_dir = np.array([1.0, 0.0], dtype=float)
else: else:
goal_to_ball_dir = goal_to_ball / goal_to_ball_norm ball_to_target_dir = ball_to_target / bt_norm
intercept_target = ball_pos - goal_to_ball_dir * 0.30 support_pos = ball_pos - ball_to_target_dir * self.SUPPORT_DISTANCE_FROM_BALL
min_x, max_x, min_y, max_y = field.get_penalty_area_bounds(side="our") support_orientation = MathOps.vector_angle(ball_pos - my_pos)
intercept_target[0] = np.clip(intercept_target[0], min_x + 0.15, max_x - 0.15)
intercept_target[1] = np.clip(intercept_target[1], min_y + 0.15, max_y - 0.15)
return intercept_target
def goalie_clear_ball(self) -> None: self.agent.skills_manager.execute(
field = self.agent.world.field "Walk",
ball_pos = self.agent.world.ball_pos[:2] target_2d=support_pos,
my_pos = self.agent.world.global_position[:2] is_target_absolute=True,
field_half_width = field.get_width() / 2.0 orientation=support_orientation,
)
side_reference = ball_pos[1] if abs(ball_pos[1]) > 1e-3 else my_pos[1]
side_sign = 1.0 if side_reference >= 0 else -1.0
clear_y = side_sign * min(field_half_width - 1.0, abs(ball_pos[1]) + 4.0)
clear_x = min(0.0, ball_pos[0] + 3.0)
clear_target = np.array([clear_x, clear_y], dtype=float)
self._set_goalie_mode(self.GOALIE_MODE_CLEAR)
self._set_goalie_action_mode(self.GOALIE_ACTION_NONE)
self._drive_ball_towards(clear_target)

View File

@@ -5,7 +5,6 @@ from world.robot import T1, Robot
from behaviors.behavior_manager import BehaviorManager from behaviors.behavior_manager import BehaviorManager
from world.world import World from world.world import World
from communication.server import Server from communication.server import Server
from communication.monitor_client import MonitorClient
from communication.world_parser import WorldParser from communication.world_parser import WorldParser
logger = logging.getLogger(__file__) logger = logging.getLogger(__file__)
@@ -36,7 +35,6 @@ class Base_Agent:
self.server: Server = Server( self.server: Server = Server(
host=host, port=port, world_parser=self.world_parser host=host, port=port, world_parser=self.world_parser
) )
self.monitor: MonitorClient = MonitorClient(host=host, port=port + 1)
self.robot: Robot = T1(agent=self) self.robot: Robot = T1(agent=self)
self.skills_manager: BehaviorManager = BehaviorManager(agent=self) self.skills_manager: BehaviorManager = BehaviorManager(agent=self)
self.decision_maker: Agent = Agent(agent=self) self.decision_maker: Agent = Agent(agent=self)
@@ -55,7 +53,6 @@ class Base_Agent:
- Sends the next set of commands to the server. - Sends the next set of commands to the server.
""" """
self.server.connect() self.server.connect()
self.monitor.connect()
self.server.send_immediate( self.server.send_immediate(
f"(init {self.robot.name} {self.world.team_name} {self.world.number})" f"(init {self.robot.name} {self.world.team_name} {self.world.number})"
@@ -81,5 +78,4 @@ class Base_Agent:
Logs a shutdown message and closes the server connection. Logs a shutdown message and closes the server connection.
""" """
logger.info("Shutting down.") logger.info("Shutting down.")
self.monitor.close()
self.server.shutdown() self.server.shutdown()

View File

@@ -1,8 +1,6 @@
from behaviors.custom.keyframe.get_up.get_up import GetUp from behaviors.custom.keyframe.get_up.get_up import GetUp
from behaviors.custom.keyframe.kick.kick import Kick
from behaviors.custom.keyframe.keyframe import KeyframeSkill from behaviors.custom.keyframe.keyframe import KeyframeSkill
from behaviors.custom.keyframe.poses.goalie_set.goalie_set import GoalieSet
from behaviors.custom.keyframe.poses.low_block_left.low_block_left import LowBlockLeft
from behaviors.custom.keyframe.poses.low_block_right.low_block_right import LowBlockRight
from behaviors.custom.keyframe.poses.neutral.neutral import Neutral from behaviors.custom.keyframe.poses.neutral.neutral import Neutral
from behaviors.behavior import Behavior from behaviors.behavior import Behavior
from behaviors.custom.reinforcement.walk.walk import Walk from behaviors.custom.reinforcement.walk.walk import Walk
@@ -25,7 +23,7 @@ class BehaviorManager:
Each skill is indexed by its class name. Each skill is indexed by its class name.
""" """
classes: list[type[Behavior]] = [Walk, Neutral, GoalieSet, LowBlockLeft, LowBlockRight, GetUp] classes: list[type[Behavior]] = [Walk, Neutral, GetUp, Kick]
# instantiate each Skill and store in the skills dictionary # instantiate each Skill and store in the skills dictionary
self.skills = {cls.__name__: cls(agent=self.agent) for cls in classes} self.skills = {cls.__name__: cls(agent=self.agent) for cls in classes}
@@ -36,9 +34,6 @@ class BehaviorManager:
raise KeyError(f"No skill found with the name '{name}'") raise KeyError(f"No skill found with the name '{name}'")
return self.skills[name] return self.skills[name]
def has_skill(self, name: str) -> bool:
return name in self.skills
def execute(self, skill_name: str, *args, **kwargs) -> bool: def execute(self, skill_name: str, *args, **kwargs) -> bool:
""" """
Executes one step of the specified skill. Executes one step of the specified skill.

View File

@@ -0,0 +1,91 @@
import os
from numbers import Real
from behaviors.behavior import Behavior
from behaviors.custom.keyframe.keyframe import KeyframeSkill
class Kick(Behavior):
SHORT_MAX_DISTANCE: float = 1.8
MID_MAX_DISTANCE: float = 4.5
TEN_METER_MIN_DISTANCE: float = 8.0
DEFAULT_DISTANCE: float = 3.0
def __init__(self, agent):
super().__init__(agent)
base_dir = os.path.dirname(__file__)
self.short_kick = KeyframeSkill(
agent=agent,
file=os.path.join(base_dir, "kick_short.yaml"),
)
self.mid_kick = KeyframeSkill(
agent=agent,
file=os.path.join(base_dir, "kick_mid.yaml"),
)
self.long_kick = KeyframeSkill(
agent=agent,
file=os.path.join(base_dir, "kick_long.yaml"),
)
self.ten_meter_kick = KeyframeSkill(
agent=agent,
file=os.path.join(base_dir, "kick_10m.yaml"),
)
self.current_kick: KeyframeSkill | None = None
self.should_reset_kick: bool = True
self.should_execute_neutral: bool = True
def execute(self, reset: bool, *args, **kwargs) -> bool:
if reset:
kick_distance = self._extract_kick_distance(*args, **kwargs)
self.current_kick = self._choose_kick_from_distance(kick_distance)
self.should_reset_kick = True
self.should_execute_neutral = True
if self.current_kick is None:
self.current_kick = self.mid_kick
if self.should_execute_neutral:
neutral_finished = self.agent.skills_manager.execute(
"Neutral",
)
self.should_reset_kick = False
if not neutral_finished:
return False
self.should_execute_neutral = False
self.should_reset_kick = True
has_finished = self.current_kick.execute(reset=self.should_reset_kick)
self.should_reset_kick = False
return has_finished
def _extract_kick_distance(self, *args, **kwargs) -> float:
distance_candidates = (
kwargs.get("distance"),
kwargs.get("kick_distance"),
kwargs.get("target_distance"),
kwargs.get("ball_to_target_distance"),
args[0] if args else None,
)
for candidate in distance_candidates:
if isinstance(candidate, Real):
return float(max(0.0, candidate))
return self.DEFAULT_DISTANCE
def _choose_kick_from_distance(self, distance: float) -> KeyframeSkill:
if distance <= self.SHORT_MAX_DISTANCE:
return self.short_kick
if distance <= self.MID_MAX_DISTANCE:
return self.mid_kick
if distance >= self.TEN_METER_MIN_DISTANCE:
return self.ten_meter_kick
return self.long_kick
def is_ready(self, *args) -> bool:
return True

View File

@@ -0,0 +1,187 @@
symmetry: false
kp: 175
kd: 1.4
keyframes:
- delta: 0.00
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 68.000
Left_Shoulder_Roll: -76.000
Left_Elbow_Pitch: -62.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 52.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -26.000
Left_Hip_Roll: 8.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 62.000
Left_Ankle_Pitch: 12.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -10.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -5.000
- delta: 0.23
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -70.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 50.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -40.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 2.500
Left_Knee_Pitch: 64.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -3.000
Right_Knee_Pitch: -10.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -6.000
- delta: 0.26
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -74.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -56.000
Left_Hip_Roll: 12.000
Left_Hip_Yaw: 5.000
Left_Knee_Pitch: 34.000
Left_Ankle_Pitch: 6.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -6.000
Right_Knee_Pitch: -8.000
Right_Ankle_Pitch: 5.000
Right_Ankle_Roll: -7.000
- delta: 0.10
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 74.000
Left_Shoulder_Roll: -86.000
Left_Elbow_Pitch: -76.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 44.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -66.000
Left_Hip_Roll: 13.000
Left_Hip_Yaw: 5.500
Left_Knee_Pitch: -12.000
Left_Ankle_Pitch: 4.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 12.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: -2.500
Right_Knee_Pitch: -6.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -6.000
kp: 210
- delta: 0.23
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -72.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 46.000
Right_Elbow_Pitch: -66.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -24.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: 46.000
Left_Ankle_Pitch: 12.500
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -10.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -4.000
- delta: 0.23
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -68.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -18.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 38.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 12.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -6.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -4.000
- delta: 0.34
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 64.000
Left_Shoulder_Roll: -72.000
Left_Elbow_Pitch: -58.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 68.000
Right_Shoulder_Roll: 45.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: 0.000
Left_Hip_Roll: 0.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 0.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 0.000
Right_Hip_Pitch: 0.000
Right_Hip_Roll: 0.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: 0.000
Right_Ankle_Pitch: 0.000
Right_Ankle_Roll: 0.000
kp: 120

View File

@@ -0,0 +1,213 @@
symmetry: false
kp: 160
kd: 1.3
keyframes:
- delta: 0.00
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 68.000
Left_Shoulder_Roll: -76.000
Left_Elbow_Pitch: -62.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 52.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -18.000
Left_Hip_Roll: 8.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 38.000
Left_Ankle_Pitch: 12.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -38.000
Right_Ankle_Pitch: 10.000
Right_Ankle_Roll: -5.000
- delta: 0.20
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -70.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 50.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -30.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 2.000
Left_Knee_Pitch: 24.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 26.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -3.000
Right_Knee_Pitch: -40.000
Right_Ankle_Pitch: 10.000
Right_Ankle_Roll: -6.000
- delta: 0.21
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -74.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -48.000
Left_Hip_Roll: 12.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: 4.000
Left_Ankle_Pitch: 4.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -4.000
Right_Knee_Pitch: -36.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -7.000
- delta: 0.12
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 74.000
Left_Shoulder_Roll: -86.000
Left_Elbow_Pitch: -76.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 44.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -56.000
Left_Hip_Roll: 13.000
Left_Hip_Yaw: 4.000
Left_Knee_Pitch: -4.000
Left_Ankle_Pitch: 2.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 22.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: -1.500
Right_Knee_Pitch: -28.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -6.000
- delta: 0.12
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 76.000
Left_Shoulder_Roll: -88.000
Left_Elbow_Pitch: -78.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 42.000
Right_Elbow_Pitch: -62.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -60.000
Left_Hip_Roll: 14.000
Left_Hip_Yaw: 5.000
Left_Knee_Pitch: -8.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 20.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: -2.000
Right_Knee_Pitch: -24.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -5.000
kp: 190
- delta: 0.21
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -72.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 46.000
Right_Elbow_Pitch: -66.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -22.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: 16.000
Left_Ankle_Pitch: 11.500
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -34.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -4.000
- delta: 0.21
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -68.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -18.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 12.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -34.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -4.000
- delta: 0.31
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 64.000
Left_Shoulder_Roll: -72.000
Left_Elbow_Pitch: -58.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 68.000
Right_Shoulder_Roll: 45.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: 0.000
Left_Hip_Roll: 0.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 0.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 0.000
Right_Hip_Pitch: 20.000
Right_Hip_Roll: -6.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -26.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: 0.000
kp: 120

View File

@@ -0,0 +1,213 @@
symmetry: false
kp: 150
kd: 1.2
keyframes:
- delta: 0.00
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 68.000
Left_Shoulder_Roll: -76.000
Left_Elbow_Pitch: -62.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 52.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -16.000
Left_Hip_Roll: 8.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 36.000
Left_Ankle_Pitch: 12.000
Left_Ankle_Roll: 4.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -36.000
Right_Ankle_Pitch: 9.000
Right_Ankle_Roll: -5.000
- delta: 0.17
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -70.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 50.000
Right_Elbow_Pitch: -72.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -28.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 1.500
Left_Knee_Pitch: 24.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 26.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -2.000
Right_Knee_Pitch: -38.000
Right_Ankle_Pitch: 10.000
Right_Ankle_Roll: -6.000
- delta: 0.18
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -74.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -44.000
Left_Hip_Roll: 12.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: 6.000
Left_Ankle_Pitch: 5.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -10.000
Right_Hip_Yaw: -4.000
Right_Knee_Pitch: -36.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -7.000
- delta: 0.12
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 74.000
Left_Shoulder_Roll: -84.000
Left_Elbow_Pitch: -76.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 46.000
Right_Elbow_Pitch: -66.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -52.000
Left_Hip_Roll: 13.000
Left_Hip_Yaw: 3.500
Left_Knee_Pitch: -2.000
Left_Ankle_Pitch: 2.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: -1.000
Right_Knee_Pitch: -30.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -5.000
- delta: 0.12
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 76.000
Left_Shoulder_Roll: -86.000
Left_Elbow_Pitch: -78.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 44.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -58.000
Left_Hip_Roll: 14.000
Left_Hip_Yaw: 4.000
Left_Knee_Pitch: -6.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 22.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: -1.000
Right_Knee_Pitch: -26.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -6.000
kp: 180
- delta: 0.18
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -72.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 46.000
Right_Elbow_Pitch: -66.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -20.000
Left_Hip_Roll: 10.500
Left_Hip_Yaw: 2.000
Left_Knee_Pitch: 20.000
Left_Ankle_Pitch: 11.000
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -34.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -4.000
- delta: 0.18
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -68.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -16.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 14.000
Left_Ankle_Pitch: 10.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 24.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -34.000
Right_Ankle_Pitch: 8.000
Right_Ankle_Roll: -4.000
- delta: 0.26
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 64.000
Left_Shoulder_Roll: -72.000
Left_Elbow_Pitch: -58.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: 68.000
Right_Shoulder_Roll: 45.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: 0.000
Left_Hip_Roll: 0.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 0.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 0.000
Right_Hip_Pitch: 20.000
Right_Hip_Roll: -6.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -26.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: 0.000
kp: 120

View File

@@ -0,0 +1,213 @@
symmetry: false
kp: 140
kd: 1.2
keyframes:
- delta: 0.00
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 68.000
Left_Shoulder_Roll: -76.000
Left_Elbow_Pitch: -62.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -72.000
Right_Shoulder_Roll: 52.000
Right_Elbow_Pitch: -70.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -12.000
Left_Hip_Roll: 8.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 35.000
Left_Ankle_Pitch: -18.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -10.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -5.000
- delta: 0.16
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 70.000
Left_Shoulder_Roll: -80.000
Left_Elbow_Pitch: -70.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -72.000
Right_Shoulder_Roll: 50.000
Right_Elbow_Pitch: -70.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -25.000
Left_Hip_Roll: 10.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 45.000
Left_Ankle_Pitch: -20.000
Left_Ankle_Roll: 4.500
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -9.000
Right_Hip_Yaw: -1.000
Right_Knee_Pitch: -10.000
Right_Ankle_Pitch: 6.000
Right_Ankle_Roll: -5.500
- delta: 0.17
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -74.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -40.000
Left_Hip_Roll: 12.000
Left_Hip_Yaw: 2.000
Left_Knee_Pitch: 18.000
Left_Ankle_Pitch: -24.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 14.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: -2.000
Right_Knee_Pitch: -8.000
Right_Ankle_Pitch: 5.000
Right_Ankle_Roll: -7.000
- delta: 0.16
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 73.500
Left_Shoulder_Roll: -84.000
Left_Elbow_Pitch: -76.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -72.000
Right_Shoulder_Roll: 46.000
Right_Elbow_Pitch: -66.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -48.000
Left_Hip_Roll: 13.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: -8.000
Left_Ankle_Pitch: -18.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 12.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: -1.000
Right_Knee_Pitch: -6.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -5.000
- delta: 0.16
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 75.000
Left_Shoulder_Roll: -86.000
Left_Elbow_Pitch: -72.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -70.000
Right_Shoulder_Roll: 44.000
Right_Elbow_Pitch: -64.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -50.000
Left_Hip_Roll: 13.000
Left_Hip_Yaw: 3.000
Left_Knee_Pitch: 5.000
Left_Ankle_Pitch: -22.000
Left_Ankle_Roll: 5.000
Right_Hip_Pitch: 12.000
Right_Hip_Roll: -8.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -6.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -5.000
kp: 170
- delta: 0.18
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 73.500
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -69.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -72.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -68.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -8.000
Left_Hip_Roll: 9.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 28.000
Left_Ankle_Pitch: -22.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 8.000
Right_Hip_Roll: -5.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -8.000
Right_Ankle_Pitch: 5.000
Right_Ankle_Roll: -3.000
- delta: 0.18
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 72.000
Left_Shoulder_Roll: -82.000
Left_Elbow_Pitch: -68.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -68.000
Right_Shoulder_Roll: 48.000
Right_Elbow_Pitch: -62.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: -2.000
Left_Hip_Roll: 9.000
Left_Hip_Yaw: 1.000
Left_Knee_Pitch: 28.000
Left_Ankle_Pitch: -18.000
Left_Ankle_Roll: 3.000
Right_Hip_Pitch: 8.000
Right_Hip_Roll: -5.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: -6.000
Right_Ankle_Pitch: 4.000
Right_Ankle_Roll: -3.000
- delta: 0.24
motor_positions:
Head_yaw: 0.000
Head_pitch: 0.000
Left_Shoulder_Pitch: 65.000
Left_Shoulder_Roll: -75.000
Left_Elbow_Pitch: -60.000
Left_Elbow_Yaw: 0.000
Right_Shoulder_Pitch: -65.000
Right_Shoulder_Roll: 45.000
Right_Elbow_Pitch: -60.000
Right_Elbow_Yaw: 0.000
Waist: 0.000
Left_Hip_Pitch: 0.000
Left_Hip_Roll: 0.000
Left_Hip_Yaw: 0.000
Left_Knee_Pitch: 0.000
Left_Ankle_Pitch: 0.000
Left_Ankle_Roll: 0.000
Right_Hip_Pitch: 0.000
Right_Hip_Roll: 0.000
Right_Hip_Yaw: 0.000
Right_Knee_Pitch: 0.000
Right_Ankle_Pitch: 0.000
Right_Ankle_Roll: 0.000
kp: 120

View File

@@ -1,8 +0,0 @@
import os
from behaviors.custom.keyframe.keyframe import KeyframeSkill
class GoalieSet(KeyframeSkill):
def __init__(self, agent):
super().__init__(agent, os.path.join(os.path.dirname(__file__), "goalie_set.yaml"))

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@@ -1,8 +0,0 @@
import os
from behaviors.custom.keyframe.keyframe import KeyframeSkill
class LowBlockLeft(KeyframeSkill):
def __init__(self, agent):
super().__init__(agent, os.path.join(os.path.dirname(__file__), "low_block_left.yaml"))

View File

@@ -1,8 +0,0 @@
import os
from behaviors.custom.keyframe.keyframe import KeyframeSkill
class LowBlockRight(KeyframeSkill):
def __init__(self, agent):
super().__init__(agent, os.path.join(os.path.dirname(__file__), "low_block_right.yaml"))

View File

@@ -1,32 +0,0 @@
import logging
from behaviors.behavior import Behavior
logger = logging.getLogger(__name__)
class GoalieBlock(Behavior):
"""
Placeholder interface for a future RL-based goalkeeper blocking skill.
The production code does not register or call this skill yet.
It exists to lock down the expected execution shape for later training work.
"""
def __init__(self, agent):
super().__init__(agent)
self.last_side: str | None = None
def execute(self, reset: bool, side: str, *args, **kwargs) -> bool:
if reset:
self.last_side = side
logger.warning(
"GoalieBlock.execute(side=%s) was called before an RL model was integrated.",
side,
)
return True
def is_ready(self, *args) -> bool:
return False

View File

@@ -143,7 +143,5 @@ class Walk(Behavior):
robot.ROBOT_MOTORS[idx], target*180/math.pi, kp=25, kd=0.6 robot.ROBOT_MOTORS[idx], target*180/math.pi, kp=25, kd=0.6
) )
return False
def is_ready(self, *args, **kwargs) -> bool: def is_ready(self, *args, **kwargs) -> bool:
return True return True

View File

@@ -1,70 +0,0 @@
import logging
import socket
logger = logging.getLogger(__name__)
class MonitorClient:
"""
TCP client for the RCSSServerMJ monitor port.
Sends monitor commands via the length-prefixed S-expression protocol.
"""
def __init__(self, host: str = "localhost", port: int = 60001):
self._host = host
self._port = port
self._socket: socket.socket | None = None
def connect(self) -> None:
self._socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self._socket.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
self._socket.connect((self._host, self._port))
logger.info("Monitor connection established to %s:%d.", self._host, self._port)
def close(self) -> None:
if self._socket is not None:
self._socket.close()
self._socket = None
def send(self, msg: str) -> None:
data = msg.encode()
self._socket.send(len(data).to_bytes(4, byteorder="big") + data)
def place_ball(
self,
pos: tuple[float, float, float],
vel: tuple[float, float, float] | None = None,
) -> None:
msg = f"(ball (pos {pos[0]} {pos[1]} {pos[2]})"
if vel is not None:
msg += f" (vel {vel[0]} {vel[1]} {vel[2]})"
msg += ")"
self.send(msg)
def drop_ball(self) -> None:
self.send("(dropBall)")
def kick_off(self, side: str = "Left") -> None:
self.send(f"(kickOff {side})")
def set_play_mode(self, mode: str) -> None:
self.send(f"(playMode {mode})")
def place_player(
self,
unum: int,
team_name: str,
pos: tuple[float, float, float],
yaw_deg: float | None = None,
) -> None:
if yaw_deg is None:
command = f"(agent (unum {unum}) (team {team_name}) (pos {pos[0]} {pos[1]} {pos[2]}))"
else:
command = (
f"(agent (unum {unum}) (team {team_name}) "
f"(move {pos[0]} {pos[1]} {pos[2]} {yaw_deg}))"
)
self.send(command)

View File

@@ -1,6 +1,5 @@
import logging import logging
import socket import socket
import time
from select import select from select import select
from communication.world_parser import WorldParser from communication.world_parser import WorldParser
@@ -28,16 +27,12 @@ class Server:
logger.error( logger.error(
"Connection refused. Make sure the server is running and listening on {self.__host}:{self.__port}." "Connection refused. Make sure the server is running and listening on {self.__host}:{self.__port}."
) )
time.sleep(1.0)
logger.info(f"Server connection established to {self.__host}:{self.__port}.") logger.info(f"Server connection established to {self.__host}:{self.__port}.")
def shutdown(self) -> None: def shutdown(self) -> None:
try:
self.__socket.shutdown(socket.SHUT_RDWR)
except OSError:
pass
self.__socket.close() self.__socket.close()
self.__socket.shutdown(socket.SHUT_RDWR)
def send_immediate(self, msg: str) -> None: def send_immediate(self, msg: str) -> None:
""" """
@@ -112,6 +107,3 @@ class Server:
def commit_beam(self, pos2d: list, rotation: float) -> None: def commit_beam(self, pos2d: list, rotation: float) -> None:
assert len(pos2d) == 2 assert len(pos2d) == 2
self.commit(f"(beam {pos2d[0]} {pos2d[1]} {rotation})") self.commit(f"(beam {pos2d[0]} {pos2d[1]} {rotation})")
def commit_catch(self, angle_deg: float) -> None:
logger.debug("commit_catch(%s) is a no-op on the current server backend.", angle_deg)

View File

@@ -127,10 +127,7 @@ class WorldParser:
if not world.is_left_team: if not world.is_left_team:
world._global_cheat_position[:2] = -world._global_cheat_position[:2] world._global_cheat_position[:2] = -world._global_cheat_position[:2]
# Rotate the current raw server pose into Apollo's unified global_rotation = R.from_quat(robot.global_orientation_quat)
# left-team view. Using the previous frame orientation here
# makes right-side players drift and face the wrong direction.
global_rotation = R.from_quat(robot._global_cheat_orientation)
yaw180 = R.from_euler('z', 180, degrees=True) yaw180 = R.from_euler('z', 180, degrees=True)
fixed_rotation = yaw180 * global_rotation fixed_rotation = yaw180 * global_rotation
robot._global_cheat_orientation = fixed_rotation.as_quat() robot._global_cheat_orientation = fixed_rotation.as_quat()
@@ -141,7 +138,7 @@ class WorldParser:
[MathOps.normalize_deg(axis_angle) for axis_angle in euler_angles_deg]) [MathOps.normalize_deg(axis_angle) for axis_angle in euler_angles_deg])
robot.global_orientation_quat = robot._global_cheat_orientation robot.global_orientation_quat = robot._global_cheat_orientation
world.global_position = world._global_cheat_position world.global_position = world._global_cheat_position
except Exception: except:
logger.exception(f'Failed to rotate orientation and position considering team side') logger.exception(f'Failed to rotate orientation and position considering team side')
robot.gyroscope = np.array(perception_dict["GYR"]["rt"]) robot.gyroscope = np.array(perception_dict["GYR"]["rt"])
@@ -160,33 +157,12 @@ class WorldParser:
polar_coords = np.array(seen_object['pol']) polar_coords = np.array(seen_object['pol'])
local_cartesian_3d = MathOps.deg_sph2cart(polar_coords) local_cartesian_3d = MathOps.deg_sph2cart(polar_coords)
previous_ball_pos = np.copy(world.ball_pos)
previous_ball_time = world.ball_last_update_time
world.ball_pos = MathOps.rel_to_global_3d( world.ball_pos = MathOps.rel_to_global_3d(
local_pos_3d=local_cartesian_3d, local_pos_3d=local_cartesian_3d,
global_pos_3d=world.global_position, global_pos_3d=world.global_position,
global_orientation_quat=robot.global_orientation_quat global_orientation_quat=robot.global_orientation_quat
) )
world.ball_last_pos = previous_ball_pos
world.ball_last_update_time = world.server_time
if previous_ball_time is not None:
dt = world.server_time - previous_ball_time
if dt > 1e-6:
raw_vel = (
world.ball_pos[:2] - previous_ball_pos[:2]
) / dt
alpha = 0.4
world.ball_velocity_2d = (
alpha * raw_vel
+ (1.0 - alpha) * world.ball_velocity_2d
)
world.ball_speed = float(np.linalg.norm(world.ball_velocity_2d))
else:
world.ball_velocity_2d = np.zeros(2)
world.ball_speed = 0.0
world.is_ball_pos_updated = True world.is_ball_pos_updated = True
elif obj_type == "P": elif obj_type == "P":

7
kick_test.sh Executable file
View File

@@ -0,0 +1,7 @@
#!/bin/bash
export OMP_NUM_THREADS=1
host=${1:-localhost}
port=${2:-60000}
python3 run_player.py --host $host --port $port -n 1 -t SE &

9
readme.md Normal file → Executable file
View File

@@ -41,14 +41,7 @@ CLI parameter (a usage help is also available):
- `--port <port>` to specify the agent port (default: 60000) - `--port <port>` to specify the agent port (default: 60000)
- `-n <number>` Player number (111) (default: 1) - `-n <number>` Player number (111) (default: 1)
- `-t <team_name>` Team name (default: 'Default') - `-t <team_name>` Team name (default: 'Default')
- `-f <field>` Field profile (default: `fifa`)
### Field profiles
There are two supported ways to run Apollo3D:
- Official rules test: use the server with `--rules ssim`, and run agents with `-f fifa`. This matches the current `rcssservermj` default field for the SSIM rule book.
- Apollo custom 7v7: run agents with `-f sim3d_7vs7`. This profile is kept for Apollo's custom small-field setup and should not be treated as the official SSIM geometry baseline.
### Run a team ### Run a team
You can also use a shell script to start the entire team, optionally specifying host and port: You can also use a shell script to start the entire team, optionally specifying host and port:
@@ -62,8 +55,6 @@ Using **Poetry**:
poetry run ./start_7v7.sh [host] [port] poetry run ./start_7v7.sh [host] [port]
``` ```
`start_7v7.sh` now launches agents explicitly with `-f sim3d_7vs7`.
CLI parameter: CLI parameter:
- `[host]` Server IP address (default: 'localhost') - `[host]` Server IP address (default: 'localhost')

View File

@@ -16,7 +16,7 @@ parser.add_argument("-t", "--team", type=str, default="Default", help="Team name
parser.add_argument("-n", "--number", type=int, default=1, help="Player number") parser.add_argument("-n", "--number", type=int, default=1, help="Player number")
parser.add_argument("--host", type=str, default="127.0.0.1", help="Server host") parser.add_argument("--host", type=str, default="127.0.0.1", help="Server host")
parser.add_argument("--port", type=int, default=60000, help="Server port") parser.add_argument("--port", type=int, default=60000, help="Server port")
parser.add_argument("-f", "--field", type=str, default='fifa', help="Field to be played") parser.add_argument("-f", "--field", type=str, default='sim3d_7vs7', help="Field to be played")
args = parser.parse_args() args = parser.parse_args()

View File

@@ -5,5 +5,5 @@ host=${1:-localhost}
port=${2:-60000} port=${2:-60000}
for i in {1..7}; do for i in {1..7}; do
python3 run_player.py --host $host --port $port -n $i -t SE -f sim3d_7vs7 & python3 run_player.py --host $host --port $port -n $i -t SE &
done done

0
start_FIFA.sh Normal file → Executable file
View File

View File

@@ -5,7 +5,7 @@ import sys
try: try:
GLOBAL_DIR = sys._MEIPASS # temporary folder with libs & data files GLOBAL_DIR = sys._MEIPASS # temporary folder with libs & data files
except AttributeError: except:
GLOBAL_DIR = "." GLOBAL_DIR = "."
@@ -51,7 +51,6 @@ class MathOps():
if size == 0: return vec if size == 0: return vec
return vec / size return vec / size
@staticmethod
def rel_to_global_3d(local_pos_3d: np.ndarray, global_pos_3d: np.ndarray, def rel_to_global_3d(local_pos_3d: np.ndarray, global_pos_3d: np.ndarray,
global_orientation_quat: np.ndarray) -> np.ndarray: global_orientation_quat: np.ndarray) -> np.ndarray:
''' Converts a local 3d position to a global 3d position given the global position and orientation (quaternion) ''' ''' Converts a local 3d position to a global 3d position given the global position and orientation (quaternion) '''
@@ -286,10 +285,22 @@ class MathOps():
@staticmethod @staticmethod
def intersection_segment_opp_goal(a: np.ndarray, b: np.ndarray): def intersection_segment_opp_goal(a: np.ndarray, b: np.ndarray):
''' Computes the intersection point of 2d segment 'ab' and the opponents' goal (front line) ''' ''' Computes the intersection point of 2d segment 'ab' and the opponents' goal (front line) '''
raise NotImplementedError( vec_x = b[0] - a[0]
"intersection_segment_opp_goal uses hardcoded x=15 / y=±1.01. "
"Refactor to accept field dimensions before use." # Collinear intersections are not accepted
) if vec_x == 0: return None
k = (15.01 - a[0]) / vec_x
# No collision
if k < 0 or k > 1: return None
intersection_pt = a + (b - a) * k
if -1.01 <= intersection_pt[1] <= 1.01:
return intersection_pt
else:
return None
@staticmethod @staticmethod
def intersection_circle_opp_goal(p: np.ndarray, r): def intersection_circle_opp_goal(p: np.ndarray, r):
@@ -297,18 +308,34 @@ class MathOps():
Computes the intersection segment of circle (center p, radius r) and the opponents' goal (front line) Computes the intersection segment of circle (center p, radius r) and the opponents' goal (front line)
Only the y coordinates are returned since the x coordinates are always equal to 15 Only the y coordinates are returned since the x coordinates are always equal to 15
''' '''
raise NotImplementedError(
"intersection_circle_opp_goal uses hardcoded x=15 / y=±1.01. " x_dev = abs(15 - p[0])
"Refactor to accept field dimensions before use."
) if x_dev > r:
return None # no intersection with x=15
y_dev = sqrt(r * r - x_dev * x_dev)
p1 = max(p[1] - y_dev, -1.01)
p2 = min(p[1] + y_dev, 1.01)
if p1 == p2:
return p1 # return the y coordinate of a single intersection point
elif p2 < p1:
return None # no intersection
else:
return p1, p2 # return the y coordinates of the intersection segment
@staticmethod @staticmethod
def distance_point_to_opp_goal(p: np.ndarray): def distance_point_to_opp_goal(p: np.ndarray):
''' Distance between point 'p' and the opponents' goal (front line) ''' ''' Distance between point 'p' and the opponents' goal (front line) '''
raise NotImplementedError(
"distance_point_to_opp_goal uses hardcoded x=15 / y=±1.01. " if p[1] < -1.01:
"Refactor to accept field dimensions before use." return np.linalg.norm(p - (15, -1.01))
) elif p[1] > 1.01:
return np.linalg.norm(p - (15, 1.01))
else:
return abs(15 - p[0])
@staticmethod @staticmethod
def circle_line_segment_intersection(circle_center, circle_radius, pt1, pt2, full_line=True, tangent_tol=1e-9): def circle_line_segment_intersection(circle_center, circle_radius, pt1, pt2, full_line=True, tangent_tol=1e-9):

View File

@@ -1,237 +1,62 @@
from __future__ import annotations from abc import ABC, abstractmethod
from typing_extensions import override
from abc import ABC
from typing import Literal
import numpy as np
from world.commons.field_landmarks import FieldLandmarks from world.commons.field_landmarks import FieldLandmarks
GoalSide = Literal["our", "their", "left", "right"]
Bounds2D = tuple[float, float, float, float]
class Field(ABC): class Field(ABC):
FIELD_DIM: tuple[float, float, float]
LINE_WIDTH: float
GOAL_DIM: tuple[float, float, float]
GOALIE_AREA_DIM: tuple[float, float]
PENALTY_AREA_DIM: tuple[float, float] | None
PENALTY_SPOT_DISTANCE: float
CENTER_CIRCLE_RADIUS: float
DEFAULT_BEAM_POSES: dict[int, tuple[float, float, float]]
def __init__(self, world): def __init__(self, world):
from world.world import World # type hinting from world.world import World # type hinting
self.world: World = world self.world: World = world
self.field_landmarks: FieldLandmarks = FieldLandmarks(field=self) self.field_landmarks: FieldLandmarks = FieldLandmarks(world=self.world)
def _resolve_side(self, side: GoalSide) -> Literal["left", "right"]: def get_our_goal_position(self):
if side == "left": return (-self.get_length() / 2, 0)
return "left"
if side == "right":
return "right"
is_left = self.world.is_left_team
if side == "our":
return "left" if is_left else "right"
if side == "their":
return "right" if is_left else "left"
raise ValueError(f"Unknown field side: {side}")
def get_width(self) -> float: def get_their_goal_position(self):
return self.FIELD_DIM[1] return (self.get_length() / 2, 0)
def get_length(self) -> float: @abstractmethod
return self.FIELD_DIM[0] def get_width(self):
raise NotImplementedError()
def get_goal_dim(self) -> tuple[float, float, float]: @abstractmethod
return self.GOAL_DIM def get_length(self):
raise NotImplementedError()
def get_goal_half_width(self) -> float:
return self.GOAL_DIM[1] / 2.0
def get_center_circle_radius(self) -> float:
return self.CENTER_CIRCLE_RADIUS
def get_goal_position(self, side: GoalSide = "our") -> tuple[float, float]:
resolved_side = self._resolve_side(side)
x = -self.get_length() / 2.0 if resolved_side == "left" else self.get_length() / 2.0
return (x, 0.0)
def get_our_goal_position(self) -> tuple[float, float]:
return self.get_goal_position("our")
def get_their_goal_position(self) -> tuple[float, float]:
return self.get_goal_position("their")
def _build_box_bounds(self, depth: float, width: float, side: GoalSide) -> Bounds2D:
resolved_side = self._resolve_side(side)
field_half_x = self.get_length() / 2.0
half_width = width / 2.0
if resolved_side == "left":
return (-field_half_x, -field_half_x + depth, -half_width, half_width)
return (field_half_x - depth, field_half_x, -half_width, half_width)
def get_goalie_area_bounds(self, side: GoalSide = "our") -> Bounds2D:
return self._build_box_bounds(
depth=self.GOALIE_AREA_DIM[0],
width=self.GOALIE_AREA_DIM[1],
side=side,
)
def get_penalty_area_bounds(self, side: GoalSide = "our") -> Bounds2D:
if self.PENALTY_AREA_DIM is None:
raise ValueError(f"{type(self).__name__} does not define a penalty area")
return self._build_box_bounds(
depth=self.PENALTY_AREA_DIM[0],
width=self.PENALTY_AREA_DIM[1],
side=side,
)
def get_penalty_spot(self, side: GoalSide = "our") -> tuple[float, float]:
resolved_side = self._resolve_side(side)
x = (self.get_length() / 2.0) - self.PENALTY_SPOT_DISTANCE
return (-x, 0.0) if resolved_side == "left" else (x, 0.0)
def _is_inside_bounds(self, pos2d: np.ndarray | tuple[float, float], bounds: Bounds2D) -> bool:
x, y = float(pos2d[0]), float(pos2d[1])
min_x, max_x, min_y, max_y = bounds
return min_x <= x <= max_x and min_y <= y <= max_y
def is_inside_goalie_area(
self, pos2d: np.ndarray | tuple[float, float], side: GoalSide = "our"
) -> bool:
return self._is_inside_bounds(pos2d, self.get_goalie_area_bounds(side))
def is_inside_penalty_area(
self, pos2d: np.ndarray | tuple[float, float], side: GoalSide = "our"
) -> bool:
return self._is_inside_bounds(pos2d, self.get_penalty_area_bounds(side))
def is_inside_field(self, pos2d: np.ndarray | tuple[float, float]) -> bool:
field_half_x = self.get_length() / 2.0
field_half_y = self.get_width() / 2.0
return self._is_inside_bounds(pos2d, (-field_half_x, field_half_x, -field_half_y, field_half_y))
def get_beam_pose(self, number: int, is_left_team: bool = True) -> tuple[float, float, float]:
try:
pose = self.DEFAULT_BEAM_POSES[number]
except KeyError as exc:
raise KeyError(f"No beam pose configured for player {number} on {type(self).__name__}") from exc
if is_left_team:
return pose
x, y, rotation = pose
mirrored_rotation = ((rotation + 180.0 + 180.0) % 360.0) - 180.0
return (-x, -y, mirrored_rotation)
def get_default_beam_poses(self) -> dict[int, tuple[float, float, float]]:
return dict(self.DEFAULT_BEAM_POSES)
def get_canonical_landmarks(self) -> dict[str, np.ndarray]:
field_half_x = self.get_length() / 2.0
field_half_y = self.get_width() / 2.0
goal_half_y = self.get_goal_half_width()
penalty_marker_x = field_half_x - self.PENALTY_SPOT_DISTANCE
goalie_area_x = field_half_x - self.GOALIE_AREA_DIM[0]
goalie_marker_y = self.GOALIE_AREA_DIM[1] / 2.0
landmarks = {
"l_luf": np.array([-field_half_x, field_half_y, 0.0]),
"l_llf": np.array([-field_half_x, -field_half_y, 0.0]),
"l_ruf": np.array([field_half_x, field_half_y, 0.0]),
"l_rlf": np.array([field_half_x, -field_half_y, 0.0]),
"t_cuf": np.array([0.0, field_half_y, 0.0]),
"t_clf": np.array([0.0, -field_half_y, 0.0]),
"x_cuc": np.array([0.0, self.CENTER_CIRCLE_RADIUS, 0.0]),
"x_clc": np.array([0.0, -self.CENTER_CIRCLE_RADIUS, 0.0]),
"p_lpm": np.array([-penalty_marker_x, 0.0, 0.0]),
"p_rpm": np.array([penalty_marker_x, 0.0, 0.0]),
"g_lup": np.array([-field_half_x, goal_half_y, self.GOAL_DIM[2]]),
"g_llp": np.array([-field_half_x, -goal_half_y, self.GOAL_DIM[2]]),
"g_rup": np.array([field_half_x, goal_half_y, self.GOAL_DIM[2]]),
"g_rlp": np.array([field_half_x, -goal_half_y, self.GOAL_DIM[2]]),
"l_luga": np.array([-goalie_area_x, goalie_marker_y, 0.0]),
"l_llga": np.array([-goalie_area_x, -goalie_marker_y, 0.0]),
"l_ruga": np.array([goalie_area_x, goalie_marker_y, 0.0]),
"l_rlga": np.array([goalie_area_x, -goalie_marker_y, 0.0]),
"t_luga": np.array([-field_half_x, goalie_marker_y, 0.0]),
"t_llga": np.array([-field_half_x, -goalie_marker_y, 0.0]),
"t_ruga": np.array([field_half_x, goalie_marker_y, 0.0]),
"t_rlga": np.array([field_half_x, -goalie_marker_y, 0.0]),
}
if self.PENALTY_AREA_DIM is not None:
penalty_area_x = field_half_x - self.PENALTY_AREA_DIM[0]
penalty_marker_y = self.PENALTY_AREA_DIM[1] / 2.0
landmarks.update(
{
"l_lupa": np.array([-penalty_area_x, penalty_marker_y, 0.0]),
"l_llpa": np.array([-penalty_area_x, -penalty_marker_y, 0.0]),
"l_rupa": np.array([penalty_area_x, penalty_marker_y, 0.0]),
"l_rlpa": np.array([penalty_area_x, -penalty_marker_y, 0.0]),
"t_lupa": np.array([-field_half_x, penalty_marker_y, 0.0]),
"t_llpa": np.array([-field_half_x, -penalty_marker_y, 0.0]),
"t_rupa": np.array([field_half_x, penalty_marker_y, 0.0]),
"t_rlpa": np.array([field_half_x, -penalty_marker_y, 0.0]),
}
)
return landmarks
class FIFAField(Field): class FIFAField(Field):
FIELD_DIM = (105.0, 68.0, 40.0) def __init__(self, world):
LINE_WIDTH = 0.1 super().__init__(world)
GOAL_DIM = (1.6, 7.32, 2.44)
GOALIE_AREA_DIM = (5.5, 18.32) @override
PENALTY_AREA_DIM = (16.5, 40.32) def get_width(self):
PENALTY_SPOT_DISTANCE = 11.0 return 68
CENTER_CIRCLE_RADIUS = 9.15
DEFAULT_BEAM_POSES = { @override
1: (-50.7, 0.0, 0.0), def get_length(self):
2: (-38.9, 10.9, 0.0), return 105
3: (-36.8, 4.8, 0.0),
4: (-36.8, -4.8, 0.0),
5: (-38.9, -10.9, 0.0),
6: (-10.2, 0.0, 0.0),
7: (-18.9, 0.0, 0.0),
}
class HLAdultField(Field): class HLAdultField(Field):
FIELD_DIM = (14.0, 9.0, 40.0) def __init__(self, world):
LINE_WIDTH = 0.05 super().__init__(world)
GOAL_DIM = (0.6, 2.6, 1.8)
GOALIE_AREA_DIM = (1.0, 4.0)
PENALTY_AREA_DIM = (3.0, 6.0)
PENALTY_SPOT_DISTANCE = 2.1
CENTER_CIRCLE_RADIUS = 1.5
DEFAULT_BEAM_POSES = {
1: (-5.5, 0.0, 0.0),
2: (-2.0, -1.5, 0.0),
3: (-2.0, 1.5, 0.0),
}
@override
def get_width(self):
return 9
@override
def get_length(self):
return 14
class Soccer7vs7Field(Field): class Soccer7vs7Field(Field):
FIELD_DIM = (55.0, 36.0, 40.0) def __init__(self, world):
LINE_WIDTH = 0.1 super().__init__(world)
GOAL_DIM = (0.84, 3.9, 2.44)
GOALIE_AREA_DIM = (2.9, 9.6) @override
PENALTY_AREA_DIM = (8.6, 21.3) def get_width(self):
PENALTY_SPOT_DISTANCE = 5.8 return 36
CENTER_CIRCLE_RADIUS = 4.79
DEFAULT_BEAM_POSES = { @override
1: (-25.7, 0.0, 0.0), def get_length(self):
2: (-15.7, 5.8, 0.0), return 55
3: (-13.8, 2.5, 0.0),
4: (-13.8, -2.5, 0.0),
5: (-15.7, -5.8, 0.0),
6: (-5.8, 0.0, 0.0),
7: (-9.9, 0.0, 0.0),
}

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@@ -1,16 +1,14 @@
from __future__ import annotations
import numpy as np import numpy as np
from utils.math_ops import MathOps from utils.math_ops import MathOps
class FieldLandmarks: class FieldLandmarks:
def __init__(self, field): def __init__(self, world):
self.field = field from world.world import World # type hinting
self.world = field.world
self.landmarks: dict[str, np.ndarray] = {} self.world: World = world
self.canonical_landmarks: dict[str, np.ndarray] = field.get_canonical_landmarks()
self.landmarks: dict = {}
def update_from_perception(self, landmark_id: str, landmark_pos: np.ndarray) -> None: def update_from_perception(self, landmark_id: str, landmark_pos: np.ndarray) -> None:
""" """
@@ -23,19 +21,14 @@ class FieldLandmarks:
global_pos_3d = MathOps.rel_to_global_3d( global_pos_3d = MathOps.rel_to_global_3d(
local_pos_3d=local_cart_3d, local_pos_3d=local_cart_3d,
global_pos_3d=world.global_position, global_pos_3d=world.global_position,
global_orientation_quat=world.agent.robot.global_orientation_quat, global_orientation_quat=world.agent.robot.global_orientation_quat
) )
self.landmarks[landmark_id] = global_pos_3d self.landmarks[landmark_id] = global_pos_3d
def get_landmark_position( def get_landmark_position(self, landmark_id: str) -> np.ndarray | None:
self, landmark_id: str, use_canonical: bool = False
) -> np.ndarray | None:
""" """
Returns the current perceived or canonical global position for a landmark. Returns the calculated 2d global position for a given landmark ID.
Returns None if the landmark is not currently visible or processed.
""" """
source = self.canonical_landmarks if use_canonical else self.landmarks return self.global_positions.get(landmark_id)
return source.get(landmark_id)
def get_canonical_landmark_position(self, landmark_id: str) -> np.ndarray | None:
return self.canonical_landmarks.get(landmark_id)

View File

@@ -1,4 +1,4 @@
from world.commons.field import Field from dataclasses import Field
import numpy as np import numpy as np
from world.commons.other_robot import OtherRobot from world.commons.other_robot import OtherRobot
from world.commons.field import FIFAField, HLAdultField, Soccer7vs7Field from world.commons.field import FIFAField, HLAdultField, Soccer7vs7Field
@@ -38,14 +38,10 @@ class World:
self.score_left: int = None self.score_left: int = None
self.score_right: int = None self.score_right: int = None
self.their_team_name: str = None self.their_team_name: str = None
self.last_server_time: float = None self.last_server_time: str = None
self._global_cheat_position: np.ndarray = np.zeros(3) self._global_cheat_position: np.ndarray = np.zeros(3)
self.global_position: np.ndarray = np.zeros(3) self.global_position: np.ndarray = np.zeros(3)
self.ball_pos: np.ndarray = np.zeros(3) self.ball_pos: np.ndarray = np.zeros(3)
self.ball_last_pos: np.ndarray = np.zeros(3)
self.ball_last_update_time: float = None
self.ball_velocity_2d: np.ndarray = np.zeros(2)
self.ball_speed: float = 0.0
self.is_ball_pos_updated: bool = False self.is_ball_pos_updated: bool = False
self.our_team_players: list[OtherRobot] = [OtherRobot() for _ in range(self.MAX_PLAYERS_PER_TEAM)] self.our_team_players: list[OtherRobot] = [OtherRobot() for _ in range(self.MAX_PLAYERS_PER_TEAM)]
self.their_team_players: list[OtherRobot] = [OtherRobot(is_teammate=False) for _ in self.their_team_players: list[OtherRobot] = [OtherRobot(is_teammate=False) for _ in
@@ -60,19 +56,6 @@ class World:
playmode=self.playmode, is_left_team=self.is_left_team playmode=self.playmode, is_left_team=self.is_left_team
) )
# ------------------------------------------------------------------
# Ball freshness
# ------------------------------------------------------------------
BALL_FRESH_THRESHOLD: float = 0.6 # < 0.6s: reliable
BALL_STALE_THRESHOLD: float = 3.0 # > 3.0s: completely lost
@property
def ball_age(self) -> float:
"""Seconds since the ball position was last updated by vision."""
if self.ball_last_update_time is None or self.server_time is None:
return float("inf")
return self.server_time - self.ball_last_update_time
def is_fallen(self) -> bool: def is_fallen(self) -> bool:
return self.global_position[2] < 0.3 return self.global_position[2] < 0.3