import time
import pickle
import numpy as np
from mini_bdx_runtime.rustypot_position_hwi import HWI
from mini_bdx_runtime.onnx_infer import OnnxInfer
from mini_bdx_runtime.raw_imu import Imu
from mini_bdx_runtime.poly_reference_motion import PolyReferenceMotion
from mini_bdx_runtime.xbox_controller import XBoxController
from mini_bdx_runtime.feet_contacts import FeetContacts
from mini_bdx_runtime.eyes import Eyes
from mini_bdx_runtime.sounds import Sounds
from mini_bdx_runtime.antennas import Antennas
from mini_bdx_runtime.projector import Projector
from mini_bdx_runtime.rl_utils import make_action_dict, LowPassActionFilter
from mini_bdx_runtime.duck_config import DuckConfig
import os
HOME_DIR = os.path.expanduser("~")
class RLWalk:
def __init__(
self,
onnx_model_path: str,
duck_config_path: str = f"{HOME_DIR}/duck_config.json",
serial_port: str = "/dev/ttyACM0",
control_freq: float = 50,
pid=[30, 0, 0],
action_scale=0.25,
commands=False,
pitch_bias=0,
save_obs=False,
replay_obs=None,
cutoff_frequency=None,
):
self.duck_config = DuckConfig(config_json_path=duck_config_path)
self.commands = commands
self.pitch_bias = pitch_bias
self.onnx_model_path = onnx_model_path
self.policy = OnnxInfer(self.onnx_model_path, awd=True)
self.num_dofs = 14
self.max_motor_velocity = 5.24 # rad/s
# Control
self.control_freq = control_freq
self.pid = pid
self.save_obs = save_obs
if self.save_obs:
self.saved_obs = []
self.replay_obs = replay_obs
if self.replay_obs is not None:
self.replay_obs = pickle.load(open(self.replay_obs, "rb"))
self.action_filter = None
if cutoff_frequency is not None:
self.action_filter = LowPassActionFilter(
self.control_freq, cutoff_frequency
)
self.hwi = HWI(self.duck_config, serial_port)
self.start()
self.imu = Imu(
sampling_freq=int(self.control_freq),
user_pitch_bias=self.pitch_bias,
upside_down=self.duck_config.imu_upside_down,
)
self.feet_contacts = FeetContacts()
# Scales
self.action_scale = action_scale
self.last_action = np.zeros(self.num_dofs)
self.last_last_action = np.zeros(self.num_dofs)
self.last_last_last_action = np.zeros(self.num_dofs)
self.init_pos = list(self.hwi.init_pos.values())
self.motor_targets = np.array(self.init_pos.copy())
self.prev_motor_targets = np.array(self.init_pos.copy())
self.last_commands = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
self.paused = self.duck_config.start_paused
self.command_freq = 20 # hz
if self.commands:
self.xbox_controller = XBoxController(self.command_freq)
# Reference motion, but we only really need the length of one phase
# TODO
self.PRM = PolyReferenceMotion("./polynomial_coefficients.pkl")
self.imitation_i = 0
self.imitation_phase = np.array([0, 0])
self.phase_frequency_factor = 1.0
self.phase_frequency_factor_offset = (
self.duck_config.phase_frequency_factor_offset
)
# Optional expression features
if self.duck_config.eyes:
self.eyes = Eyes()
if self.duck_config.projector:
self.projector = Projector()
if self.duck_config.speaker:
self.sounds = Sounds(
volume=1.0, sound_directory="../mini_bdx_runtime/assets/"
)
if self.duck_config.antennas:
self.antennas = Antennas()
def get_obs(self):
imu_data = self.imu.get_data()
dof_pos = self.hwi.get_present_positions(
ignore=[
"left_antenna",
"right_antenna",
]
) # rad
dof_vel = self.hwi.get_present_velocities(
ignore=[
"left_antenna",
"right_antenna",
]
) # rad/s
if dof_pos is None or dof_vel is None:
return None
if len(dof_pos) != self.num_dofs:
print(f"ERROR len(dof_pos) != {self.num_dofs}")
return None
if len(dof_vel) != self.num_dofs:
print(f"ERROR len(dof_vel) != {self.num_dofs}")
return None
cmds = self.last_commands
feet_contacts = self.feet_contacts.get()
obs = np.concatenate(
[
imu_data["gyro"],
imu_data["accelero"],
cmds,
dof_pos - self.init_pos,
dof_vel * 0.05,
self.last_action,
self.last_last_action,
self.last_last_last_action,
self.motor_targets,
feet_contacts,
self.imitation_phase,
]
)
return obs
def start(self):
kps = [self.pid[0]] * 14
kds = [self.pid[2]] * 14
# lower head kps
kps[5:9] = [8, 8, 8, 8]
self.hwi.set_kps(kps)
self.hwi.set_kds(kds)
self.hwi.turn_on()
time.sleep(2)
def get_phase_frequency_factor(self, x_velocity):
max_phase_frequency = 1.2
min_phase_frequency = 1.0
# Perform linear interpolation
freq = min_phase_frequency + (abs(x_velocity) / 0.15) * (
max_phase_frequency - min_phase_frequency
)
return freq
def run(self):
i = 0
try:
print("Starting")
start_t = time.time()
while True:
left_trigger = 0
right_trigger = 0
t = time.time()
if self.commands:
self.last_commands, self.buttons, left_trigger, right_trigger = (
self.xbox_controller.get_last_command()
)
if self.buttons.dpad_up.triggered:
self.phase_frequency_factor_offset += 0.05
print(
f"Phase frequency factor offset {round(self.phase_frequency_factor_offset, 3)}"
)
if self.buttons.dpad_down.triggered:
self.phase_frequency_factor_offset -= 0.05
print(
f"Phase frequency factor offset {round(self.phase_frequency_factor_offset, 3)}"
)
if self.buttons.LB.is_pressed:
self.phase_frequency_factor = 1.3
else:
self.phase_frequency_factor = 1.0
if self.buttons.X.triggered:
if self.duck_config.projector:
self.projector.switch()
if self.buttons.B.triggered:
if self.duck_config.speaker:
self.sounds.play_random_sound()
if self.duck_config.antennas:
self.antennas.set_position_left(right_trigger)
self.antennas.set_position_right(left_trigger)
if self.buttons.A.triggered:
self.paused = not self.paused
if self.paused:
print("PAUSE")
else:
print("UNPAUSE")
if self.paused:
time.sleep(0.1)
continue
obs = self.get_obs()
if obs is None:
continue
self.imitation_i += 1 * (
self.phase_frequency_factor + self.phase_frequency_factor_offset
)
self.imitation_i = self.imitation_i % self.PRM.nb_steps_in_period
self.imitation_phase = np.array(
[
np.cos(
self.imitation_i / self.PRM.nb_steps_in_period * 2 * np.pi
),
np.sin(
self.imitation_i / self.PRM.nb_steps_in_period * 2 * np.pi
),
]
)
if self.save_obs:
self.saved_obs.append(obs)
if self.replay_obs is not None:
if i < len(self.replay_obs):
obs = self.replay_obs[i]
else:
print("BREAKING ")
break
action = self.policy.infer(obs)
self.last_last_last_action = self.last_last_action.copy()
self.last_last_action = self.last_action.copy()
self.last_action = action.copy()
# action = np.zeros(10)
self.motor_targets = self.init_pos + action * self.action_scale
# self.motor_targets = np.clip(
# self.motor_targets,
# self.prev_motor_targets
# - self.max_motor_velocity * (1 / self.control_freq), # control dt
# self.prev_motor_targets
# + self.max_motor_velocity * (1 / self.control_freq), # control dt
# )
if self.action_filter is not None:
self.action_filter.push(self.motor_targets)
filtered_motor_targets = self.action_filter.get_filtered_action()
if (
time.time() - start_t > 1
): # give time to the filter to stabilize
self.motor_targets = filtered_motor_targets
self.prev_motor_targets = self.motor_targets.copy()
head_motor_targets = self.last_commands[3:] + self.motor_targets[5:9]
self.motor_targets[5:9] = head_motor_targets
action_dict = make_action_dict(
self.motor_targets, list(self.hwi.joints.keys())
)
self.hwi.set_position_all(action_dict)
i += 1
took = time.time() - t
# print("Full loop took", took, "fps : ", np.around(1 / took, 2))
if (1 / self.control_freq - took) < 0:
print(
"Policy control budget exceeded by",
np.around(took - 1 / self.control_freq, 3),
)
time.sleep(max(0, 1 / self.control_freq - took))
except KeyboardInterrupt:
if self.duck_config.antennas:
self.antennas.stop()
if self.save_obs:
pickle.dump(self.saved_obs, open("robot_saved_obs.pkl", "wb"))
print("TURNING OFF")
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--onnx_model_path", type=str, required=True)
parser.add_argument(
"--duck_config_path",
type=str,
required=False,
default=f"{HOME_DIR}/duck_config.json",
)
parser.add_argument("-a", "--action_scale", type=float, default=0.25)
parser.add_argument("-p", type=int, default=30)
parser.add_argument("-i", type=int, default=0)
parser.add_argument("-d", type=int, default=0)
parser.add_argument("-c", "--control_freq", type=int, default=50)
parser.add_argument("--pitch_bias", type=float, default=0, help="deg")
parser.add_argument(
"--commands",
action="store_true",
default=True,
help="external commands, keyboard or gamepad. Launch control_server.py on host computer",
)
parser.add_argument(
"--save_obs",
type=str,
required=False,
default=False,
help="save the run's observations",
)
parser.add_argument(
"--replay_obs",
type=str,
required=False,
default=None,
help="replay the observations from a previous run (can be from the robot or from mujoco)",
)
parser.add_argument("--cutoff_frequency", type=float, default=None)
args = parser.parse_args()
pid = [args.p, args.i, args.d]
print("Done parsing args")
rl_walk = RLWalk(
args.onnx_model_path,
duck_config_path=args.duck_config_path,
action_scale=args.action_scale,
pid=pid,
control_freq=args.control_freq,
commands=args.commands,
pitch_bias=args.pitch_bias,
save_obs=args.save_obs,
replay_obs=args.replay_obs,
cutoff_frequency=args.cutoff_frequency,
)
print("Done instantiating RLWalk")
rl_walk.run()
这个程序为什么手柄按A有反应，按B X Y left right LB 都没反应？
最新发布
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