Files
lerobot/examples/lekiwi/record.py
T
Steven Palma ca87ccd941 feat(rollout): decouple policy deployment from data recording with new lerobot-rollout CLI (#3413)
* feat(scripts): lerobot-rollout

* fix(rollout) require dataset in dagger + use duration too

* fix(docs): dagger num_episodes

* test(rollout): fix expectations

* fix(rollout): features check

* fix(rollout): device and task propagation + feature pos + warn fps + move rename_map config

* docs(rollout): edit rename_map instructions

* chore(rollout): multiple minor improvements

* chore(rollout): address coments + minor improvements

* fix(rollout): enable default

* fix(tests): default value RTCConfig

* fix(rollout): robot_observation_processor and notify_observation at policy frequency instead of interpolator rate

Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>

* fix(rollout): prevent relativeactions with sync inference engine

Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>

* fix(rollout): rtc reanchor to non normalized state

Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>

* fix(rollout): fixing the episode length to use hwc (#3469)

also reducing default length to 5 minutes

* feat(rollout): go back to initial position is now a config

* fix(rollout): properly propagating video_files_size_in_mb to lerobot_dataset (#3470)

* chore(rollout): note about dagger correction stage

* chore(docs): update comments and docstring

* fix(test): move rtc relative out of rollout module

* fix(rollout): address the review comments

---------

Co-authored-by: Pepijn <138571049+pkooij@users.noreply.github.com>
Co-authored-by: Maxime Ellerbach <maxime.ellerbach@huggingface.co>
2026-04-28 00:57:35 +02:00

143 lines
5.2 KiB
Python

# !/usr/bin/env python
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from lerobot.common.control_utils import init_keyboard_listener
from lerobot.datasets import LeRobotDataset
from lerobot.processor import make_default_processors
from lerobot.robots.lekiwi import LeKiwiClient, LeKiwiClientConfig
from lerobot.scripts.lerobot_record import record_loop
from lerobot.teleoperators.keyboard import KeyboardTeleop, KeyboardTeleopConfig
from lerobot.teleoperators.so_leader import SO100Leader, SO100LeaderConfig
from lerobot.utils.constants import ACTION, OBS_STR
from lerobot.utils.feature_utils import hw_to_dataset_features
from lerobot.utils.utils import log_say
from lerobot.utils.visualization_utils import init_rerun
NUM_EPISODES = 2
FPS = 30
EPISODE_TIME_SEC = 30
RESET_TIME_SEC = 10
TASK_DESCRIPTION = "My task description"
HF_REPO_ID = "<hf_username>/<dataset_repo_id>"
def main():
# Create the robot and teleoperator configurations
robot_config = LeKiwiClientConfig(remote_ip="172.18.134.136", id="lekiwi")
leader_arm_config = SO100LeaderConfig(port="/dev/tty.usbmodem585A0077581", id="my_awesome_leader_arm")
keyboard_config = KeyboardTeleopConfig()
# Initialize the robot and teleoperator
robot = LeKiwiClient(robot_config)
leader_arm = SO100Leader(leader_arm_config)
keyboard = KeyboardTeleop(keyboard_config)
# Configure the dataset features
action_features = hw_to_dataset_features(robot.action_features, ACTION)
obs_features = hw_to_dataset_features(robot.observation_features, OBS_STR)
dataset_features = {**action_features, **obs_features}
# Create the dataset
dataset = LeRobotDataset.create(
repo_id=HF_REPO_ID,
fps=FPS,
features=dataset_features,
robot_type=robot.name,
use_videos=True,
image_writer_threads=4,
)
# Connect the robot and teleoperator
# To connect you already should have this script running on LeKiwi: `python -m lerobot.robots.lekiwi.lekiwi_host --robot.id=my_awesome_kiwi`
robot.connect()
leader_arm.connect()
keyboard.connect()
# Initialize the keyboard listener and rerun visualization
listener, events = init_keyboard_listener()
init_rerun(session_name="lekiwi_record")
try:
if not robot.is_connected or not leader_arm.is_connected or not keyboard.is_connected:
raise ValueError("Robot or teleop is not connected!")
teleop_action_processor, robot_action_processor, robot_observation_processor = (
make_default_processors()
)
print("Starting record loop...")
recorded_episodes = 0
while recorded_episodes < NUM_EPISODES and not events["stop_recording"]:
log_say(f"Recording episode {recorded_episodes}")
# Main record loop
record_loop(
robot=robot,
events=events,
fps=FPS,
teleop_action_processor=teleop_action_processor,
robot_action_processor=robot_action_processor,
robot_observation_processor=robot_observation_processor,
dataset=dataset,
teleop=[leader_arm, keyboard],
control_time_s=EPISODE_TIME_SEC,
single_task=TASK_DESCRIPTION,
display_data=True,
)
# Reset the environment if not stopping or re-recording
if not events["stop_recording"] and (
(recorded_episodes < NUM_EPISODES - 1) or events["rerecord_episode"]
):
log_say("Reset the environment")
record_loop(
robot=robot,
events=events,
fps=FPS,
teleop_action_processor=teleop_action_processor,
robot_action_processor=robot_action_processor,
robot_observation_processor=robot_observation_processor,
teleop=[leader_arm, keyboard],
control_time_s=RESET_TIME_SEC,
single_task=TASK_DESCRIPTION,
display_data=True,
)
if events["rerecord_episode"]:
log_say("Re-record episode")
events["rerecord_episode"] = False
events["exit_early"] = False
dataset.clear_episode_buffer()
continue
# Save episode
dataset.save_episode()
recorded_episodes += 1
finally:
# Clean up
log_say("Stop recording")
robot.disconnect()
leader_arm.disconnect()
keyboard.disconnect()
listener.stop()
dataset.finalize()
dataset.push_to_hub()
if __name__ == "__main__":
main()