pipeline architecture changes

This commit is contained in:
Pepijn
2026-03-02 13:09:35 +01:00
parent 095856b06a
commit a2246a650b
46 changed files with 1624 additions and 484 deletions
+24 -77
View File
@@ -14,27 +14,23 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import time
from lerobot.model.kinematics import RobotKinematics
from lerobot.processor import RobotAction, RobotObservation, RobotProcessorPipeline
from lerobot.processor.converters import (
robot_action_observation_to_transition,
robot_action_to_transition,
transition_to_robot_action,
)
from lerobot.robots.so_follower import SO100Follower, SO100FollowerConfig
from lerobot.robots.so_follower.robot_kinematic_processor import (
EEBoundsAndSafety,
ForwardKinematicsJointsToEE,
InverseKinematicsEEToJoints,
from lerobot.robots.so_follower.pipelines import (
make_so10x_fk_observation_pipeline,
make_so10x_ik_action_pipeline,
)
from lerobot.scripts.lerobot_teleoperate import teleop_loop
from lerobot.teleoperators.so_leader import SO100Leader, SO100LeaderConfig
from lerobot.utils.robot_utils import precise_sleep
from lerobot.utils.visualization_utils import init_rerun, log_rerun_data
from lerobot.teleoperators.so_leader.pipelines import make_so10x_leader_fk_pipeline
from lerobot.utils.pipeline_utils import check_action_space_compatibility
from lerobot.utils.visualization_utils import init_rerun
FPS = 30
# NOTE: Use the URDF from the SO-ARM100 repo:
# https://github.com/TheRobotStudio/SO-ARM100/blob/main/Simulation/SO101/so101_new_calib.urdf
URDF_PATH = "./SO101/so101_new_calib.urdf"
def main():
# Initialize the robot and teleoperator config
@@ -47,47 +43,14 @@ def main():
follower = SO100Follower(follower_config)
leader = SO100Leader(leader_config)
# NOTE: It is highly recommended to use the urdf in the SO-ARM100 repo: https://github.com/TheRobotStudio/SO-ARM100/blob/main/Simulation/SO101/so101_new_calib.urdf
follower_kinematics_solver = RobotKinematics(
urdf_path="./SO101/so101_new_calib.urdf",
target_frame_name="gripper_frame_link",
joint_names=list(follower.bus.motors.keys()),
)
# Attach EE-space pipelines to the objects
motor_names = list(follower.bus.motors.keys())
follower.set_output_pipeline(make_so10x_fk_observation_pipeline(URDF_PATH, motor_names))
follower.set_input_pipeline(make_so10x_ik_action_pipeline(URDF_PATH, motor_names))
leader.set_output_pipeline(make_so10x_leader_fk_pipeline(URDF_PATH, list(leader.bus.motors.keys())))
# NOTE: It is highly recommended to use the urdf in the SO-ARM100 repo: https://github.com/TheRobotStudio/SO-ARM100/blob/main/Simulation/SO101/so101_new_calib.urdf
leader_kinematics_solver = RobotKinematics(
urdf_path="./SO101/so101_new_calib.urdf",
target_frame_name="gripper_frame_link",
joint_names=list(leader.bus.motors.keys()),
)
# Build pipeline to convert teleop joints to EE action
leader_to_ee = RobotProcessorPipeline[RobotAction, RobotAction](
steps=[
ForwardKinematicsJointsToEE(
kinematics=leader_kinematics_solver, motor_names=list(leader.bus.motors.keys())
),
],
to_transition=robot_action_to_transition,
to_output=transition_to_robot_action,
)
# build pipeline to convert EE action to robot joints
ee_to_follower_joints = RobotProcessorPipeline[tuple[RobotAction, RobotObservation], RobotAction](
[
EEBoundsAndSafety(
end_effector_bounds={"min": [-1.0, -1.0, -1.0], "max": [1.0, 1.0, 1.0]},
max_ee_step_m=0.10,
),
InverseKinematicsEEToJoints(
kinematics=follower_kinematics_solver,
motor_names=list(follower.bus.motors.keys()),
initial_guess_current_joints=False,
),
],
to_transition=robot_action_observation_to_transition,
to_output=transition_to_robot_action,
)
# Verify action space alignment (warns if leader EE ≠ follower action_features)
check_action_space_compatibility(leader, follower)
# Connect to the robot and teleoperator
follower.connect()
@@ -97,28 +60,12 @@ def main():
init_rerun(session_name="so100_so100_EE_teleop")
print("Starting teleop loop...")
while True:
t0 = time.perf_counter()
# Get robot observation
robot_obs = follower.get_observation()
# Get teleop observation
leader_joints_obs = leader.get_action()
# teleop joints -> teleop EE action
leader_ee_act = leader_to_ee(leader_joints_obs)
# teleop EE -> robot joints
follower_joints_act = ee_to_follower_joints((leader_ee_act, robot_obs))
# Send action to robot
_ = follower.send_action(follower_joints_act)
# Visualize
log_rerun_data(observation=leader_ee_act, action=follower_joints_act)
precise_sleep(max(1.0 / FPS - (time.perf_counter() - t0), 0.0))
try:
# Pipelines applied automatically inside teleop.get_action() and robot.send_action()
teleop_loop(teleop=leader, robot=follower, fps=FPS, display_data=True)
finally:
follower.disconnect()
leader.disconnect()
if __name__ == "__main__":