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# Copyright 2024 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.
"""
Utilities to control a robot.
Useful to record a dataset, replay a recorded episode, run the policy on your robot
and record an evaluation dataset, and to recalibrate your robot if needed.
Examples of usage:
- Recalibrate your robot:
```bash
python lerobot/scripts/control_robot.py \
--robot.type=so100 \
--control.type=calibrate
```
- Unlimited teleoperation at highest frequency (~200 Hz is expected), to exit with CTRL+C:
```bash
python lerobot/scripts/control_robot.py \
--robot.type=so100 \
--robot.cameras='{}' \
--control.type=teleoperate
# Add the cameras from the robot definition to visualize them:
python lerobot/scripts/control_robot.py \
--robot.type=so100 \
--control.type=teleoperate
```
- Unlimited teleoperation at a limited frequency of 30 Hz, to simulate data recording frequency:
```bash
python lerobot/scripts/control_robot.py \
--robot.type=so100 \
--control.type=teleoperate \
--control.fps=30
```
- Record one episode in order to test replay:
```bash
python lerobot/scripts/control_robot.py \
--robot.type=so100 \
--control.type=record \
--control.fps=30 \
--control.single_task="Grasp a lego block and put it in the bin." \
--control.repo_id=$USER/koch_test \
--control.num_episodes=1 \
--control.push_to_hub=True
```
- Visualize dataset:
```bash
python lerobot/scripts/visualize_dataset.py \
--repo-id $USER/koch_test \
--episode-index 0
```
- Replay this test episode:
```bash
python lerobot/scripts/control_robot.py replay \
--robot.type=so100 \
--control.type=replay \
--control.fps=30 \
--control.repo_id=$USER/koch_test \
--control.episode=0
```
- Record a full dataset in order to train a policy, with 2 seconds of warmup,
30 seconds of recording for each episode, and 10 seconds to reset the environment in between episodes:
```bash
python lerobot/scripts/control_robot.py record \
--robot.type=so100 \
--control.type=record \
--control.fps 30 \
--control.repo_id=$USER/koch_pick_place_lego \
--control.num_episodes=50 \
--control.warmup_time_s=2 \
--control.episode_time_s=30 \
--control.reset_time_s=10
```
- For remote controlled robots like LeKiwi, run this script on the robot edge device (e.g. RaspBerryPi):
```bash
python lerobot/scripts/control_robot.py \
--robot.type=lekiwi \
--control.type=remote_robot
```
**NOTE**: You can use your keyboard to control data recording flow.
- Tap right arrow key '->' to early exit while recording an episode and go to resseting the environment.
- Tap right arrow key '->' to early exit while resetting the environment and got to recording the next episode.
- Tap left arrow key '<-' to early exit and re-record the current episode.
- Tap escape key 'esc' to stop the data recording.
This might require a sudo permission to allow your terminal to monitor keyboard events.
**NOTE**: You can resume/continue data recording by running the same data recording command and adding `--control.resume=true`.
- Train on this dataset with the ACT policy:
```bash
python lerobot/scripts/train.py \
--dataset.repo_id=${HF_USER}/koch_pick_place_lego \
--policy.type=act \
--output_dir=outputs/train/act_koch_pick_place_lego \
--job_name=act_koch_pick_place_lego \
--device=cuda \
--wandb.enable=true
```
- Run the pretrained policy on the robot:
```bash
python lerobot/scripts/control_robot.py \
--robot.type=so100 \
--control.type=record \
--control.fps=30 \
--control.single_task="Grasp a lego block and put it in the bin." \
--control.repo_id=$USER/eval_act_koch_pick_place_lego \
--control.num_episodes=10 \
--control.warmup_time_s=2 \
--control.episode_time_s=30 \
--control.reset_time_s=10 \
--control.push_to_hub=true \
--control.policy.path=outputs/train/act_koch_pick_place_lego/checkpoints/080000/pretrained_model
```
"""
import logging
import os
import time
from dataclasses import asdict
from pprint import pformat
import rerun as rr
# from safetensors.torch import load_file, save_file
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
from lerobot.common.policies.factory import make_policy
from lerobot.common.robot_devices.control_configs import (
CalibrateControlConfig,
ControlConfig,
ControlPipelineConfig,
RecordControlConfig,
RemoteRobotConfig,
ReplayControlConfig,
TeleoperateControlConfig,
)
from lerobot.common.robot_devices.control_utils import (
control_loop,
init_keyboard_listener,
is_headless,
log_control_info,
record_episode,
reset_environment,
sanity_check_dataset_name,
sanity_check_dataset_robot_compatibility,
stop_recording,
warmup_record,
)
from lerobot.common.robot_devices.robots.utils import Robot, make_robot_from_config
from lerobot.common.robot_devices.utils import busy_wait, safe_disconnect
from lerobot.common.utils.utils import has_method, init_logging, log_say
from lerobot.configs import parser
########################################################################################
# Control modes
########################################################################################
@safe_disconnect
def calibrate(robot: Robot, cfg: CalibrateControlConfig):
# TODO(aliberts): move this code in robots' classes
if robot.robot_type.startswith("stretch"):
if not robot.is_connected:
robot.connect()
if not robot.is_homed():
robot.home()
return
arms = robot.available_arms if cfg.arms is None else cfg.arms
unknown_arms = [arm_id for arm_id in arms if arm_id not in robot.available_arms]
available_arms_str = " ".join(robot.available_arms)
unknown_arms_str = " ".join(unknown_arms)
if arms is None or len(arms) == 0:
raise ValueError(
"No arm provided. Use `--arms` as argument with one or more available arms.\n"
f"For instance, to recalibrate all arms add: `--arms {available_arms_str}`"
)
if len(unknown_arms) > 0:
raise ValueError(
f"Unknown arms provided ('{unknown_arms_str}'). Available arms are `{available_arms_str}`."
)
for arm_id in arms:
arm_calib_path = robot.calibration_dir / f"{arm_id}.json"
if arm_calib_path.exists():
print(f"Removing '{arm_calib_path}'")
arm_calib_path.unlink()
else:
print(f"Calibration file not found '{arm_calib_path}'")
if robot.is_connected:
robot.disconnect()
if robot.robot_type.startswith("lekiwi") and "main_follower" in arms:
print("Calibrating only the lekiwi follower arm 'main_follower'...")
robot.calibrate_follower()
return
if robot.robot_type.startswith("lekiwi") and "main_leader" in arms:
print("Calibrating only the lekiwi leader arm 'main_leader'...")
robot.calibrate_leader()
return
# Calling `connect` automatically runs calibration
# when the calibration file is missing
robot.connect()
robot.disconnect()
print("Calibration is done! You can now teleoperate and record datasets!")
@safe_disconnect
def teleoperate(robot: Robot, cfg: TeleoperateControlConfig):
control_loop(
robot,
control_time_s=cfg.teleop_time_s,
fps=cfg.fps,
teleoperate=True,
display_data=cfg.display_data,
)
@safe_disconnect
def record(
robot: Robot,
cfg: RecordControlConfig,
) -> LeRobotDataset:
# TODO(rcadene): Add option to record logs
if cfg.resume:
dataset = LeRobotDataset(
cfg.repo_id,
root=cfg.root,
)
if len(robot.cameras) > 0:
dataset.start_image_writer(
num_processes=cfg.num_image_writer_processes,
num_threads=cfg.num_image_writer_threads_per_camera * len(robot.cameras),
)
sanity_check_dataset_robot_compatibility(dataset, robot, cfg.fps, cfg.video)
else:
# Create empty dataset or load existing saved episodes
sanity_check_dataset_name(cfg.repo_id, cfg.policy)
dataset = LeRobotDataset.create(
cfg.repo_id,
cfg.fps,
root=cfg.root,
robot=robot,
use_videos=cfg.video,
image_writer_processes=cfg.num_image_writer_processes,
image_writer_threads=cfg.num_image_writer_threads_per_camera * len(robot.cameras),
)
# Load pretrained policy
policy = None if cfg.policy is None else make_policy(cfg.policy, ds_meta=dataset.meta)
if not robot.is_connected:
robot.connect()
listener, events = init_keyboard_listener()
# Execute a few seconds without recording to:
# 1. teleoperate the robot to move it in starting position if no policy provided,
# 2. give times to the robot devices to connect and start synchronizing,
# 3. place the cameras windows on screen
enable_teleoperation = policy is None
log_say("Warmup record", cfg.play_sounds)
warmup_record(robot, events, enable_teleoperation, cfg.warmup_time_s, cfg.display_data, cfg.fps)
if has_method(robot, "teleop_safety_stop"):
robot.teleop_safety_stop()
recorded_episodes = 0
while True:
if recorded_episodes >= cfg.num_episodes:
break
log_say(f"Recording episode {dataset.num_episodes}", cfg.play_sounds)
record_episode(
robot=robot,
dataset=dataset,
events=events,
episode_time_s=cfg.episode_time_s,
display_data=cfg.display_data,
policy=policy,
fps=cfg.fps,
single_task=cfg.single_task,
)
# Execute a few seconds without recording to give time to manually reset the environment
# Current code logic doesn't allow to teleoperate during this time.
# TODO(rcadene): add an option to enable teleoperation during reset
# Skip reset for the last episode to be recorded
if not events["stop_recording"] and (
(recorded_episodes < cfg.num_episodes - 1) or events["rerecord_episode"]
):
log_say("Reset the environment", cfg.play_sounds)
reset_environment(robot, events, cfg.reset_time_s, cfg.fps)
if events["rerecord_episode"]:
log_say("Re-record episode", cfg.play_sounds)
events["rerecord_episode"] = False
events["exit_early"] = False
dataset.clear_episode_buffer()
continue
dataset.save_episode()
recorded_episodes += 1
if events["stop_recording"]:
break
log_say("Stop recording", cfg.play_sounds, blocking=True)
stop_recording(robot, listener, cfg.display_data)
if cfg.push_to_hub:
dataset.push_to_hub(tags=cfg.tags, private=cfg.private)
log_say("Exiting", cfg.play_sounds)
return dataset
@safe_disconnect
def replay(
robot: Robot,
cfg: ReplayControlConfig,
):
# TODO(rcadene, aliberts): refactor with control_loop, once `dataset` is an instance of LeRobotDataset
# TODO(rcadene): Add option to record logs
dataset = LeRobotDataset(cfg.repo_id, root=cfg.root, episodes=[cfg.episode])
actions = dataset.hf_dataset.select_columns("action")
if not robot.is_connected:
robot.connect()
log_say("Replaying episode", cfg.play_sounds, blocking=True)
for idx in range(dataset.num_frames):
start_episode_t = time.perf_counter()
action = actions[idx]["action"]
robot.send_action(action)
dt_s = time.perf_counter() - start_episode_t
busy_wait(1 / cfg.fps - dt_s)
dt_s = time.perf_counter() - start_episode_t
log_control_info(robot, dt_s, fps=cfg.fps)
def _init_rerun(control_config: ControlConfig, session_name: str = "lerobot_control_loop") -> None:
"""Initializes the Rerun SDK for visualizing the control loop.
Args:
control_config: Configuration determining data display and robot type.
session_name: Rerun session name. Defaults to "lerobot_control_loop".
Raises:
ValueError: If viewer IP is missing for non-remote configurations with display enabled.
"""
if (control_config.display_data and not is_headless()) or (
control_config.display_data and isinstance(control_config, RemoteRobotConfig)
):
# Configure Rerun flush batch size default to 8KB if not set
batch_size = os.getenv("RERUN_FLUSH_NUM_BYTES", "8000")
os.environ["RERUN_FLUSH_NUM_BYTES"] = batch_size
# Initialize Rerun based on configuration
rr.init(session_name)
if isinstance(control_config, RemoteRobotConfig):
viewer_ip = control_config.viewer_ip
viewer_port = control_config.viewer_port
if not viewer_ip or not viewer_port:
raise ValueError(
"Viewer IP & Port are required for remote config. Set via config file/CLI or disable control_config.display_data."
)
logging.info(f"Connecting to viewer at {viewer_ip}:{viewer_port}")
rr.connect_tcp(f"{viewer_ip}:{viewer_port}")
else:
# Get memory limit for rerun viewer parameters
memory_limit = os.getenv("LEROBOT_RERUN_MEMORY_LIMIT", "10%")
rr.spawn(memory_limit=memory_limit)
@parser.wrap()
def control_robot(cfg: ControlPipelineConfig):
init_logging()
logging.info(pformat(asdict(cfg)))
robot = make_robot_from_config(cfg.robot)
# TODO(Steven): Blueprint for fixed window size
if isinstance(cfg.control, CalibrateControlConfig):
calibrate(robot, cfg.control)
elif isinstance(cfg.control, TeleoperateControlConfig):
_init_rerun(control_config=cfg.control, session_name="lerobot_control_loop_teleop")
teleoperate(robot, cfg.control)
elif isinstance(cfg.control, RecordControlConfig):
_init_rerun(control_config=cfg.control, session_name="lerobot_control_loop_record")
record(robot, cfg.control)
elif isinstance(cfg.control, ReplayControlConfig):
replay(robot, cfg.control)
elif isinstance(cfg.control, RemoteRobotConfig):
from lerobot.common.robot_devices.robots.lekiwi_remote import run_lekiwi
_init_rerun(control_config=cfg.control, session_name="lerobot_control_loop_remote")
run_lekiwi(cfg.robot)
if robot.is_connected:
# Disconnect manually to avoid a "Core dump" during process
# termination due to camera threads not properly exiting.
robot.disconnect()
if __name__ == "__main__":
control_robot()
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