On GitHub, MarkFzp/mobile-aloha has picked up 4.5k stars, Jupyter Notebook. Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Snapshot summary built from the project's own GitHub metadata — there's no written TopGit review yet. The page will update automatically when a full review is published.
WHY NO REVIEW YET
TopGit writes full reviews for the most-starred, most-requested repositories. This page is a snapshot until then — see the READ ME tab for the original README in full.
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Project Website: https://mobile-aloha.github.io/
This codebase is forked from the ALOHA repo, and contains implementation for teleoperation and data collection with the Mobile ALOHA hardware.
To build ALOHA, follow the Hardware Assembly Tutorial and the quick start guide below.
To train imitation learning algorithms, you would also need to install ACT for Mobile ALOHA which is forked from ACT.
Repo Structure
config: a config for each robot, designating the port they should bind to, more details in quick start guide.
launch: a ROS launch file for all 4 cameras and all 4 robots.
aloha_scripts: python code for teleop and data collection
Quick start guide
Software selection -- OS:
Currently tested and working configurations:
:white_check_mark: Ubuntu 18.04 + ROS 1 noetic
:white_check_mark: Ubuntu 20.04 + ROS 1 noetic
Ongoing testing (compatibility effort underway):
:construction: ROS 2
:construction: >= Ubuntu 22.04
Software installation - ROS:
Install ROS and interbotix software following https://docs.trossenrobotics.com/interbotix_xsarms_docs/
This will create the directory ~/interbotix_ws which contains src.
run catkin_make inside ~/interbotix_ws, make sure the build is successful
go to ~/interbotix_ws/src/interbotix_ros_toolboxes/interbotix_xs_toolbox/interbotix_xs_modules/src/interbotix_xs_modules/arm.py, find function publish_positions.
Change self.T_sb = mr.FKinSpace(self.robot_des.M, self.robot_des.Slist, self.joint_commands) to self.T_sb = None.
This prevents the code from calculating FK at every step which delays teleoperation.
Hardware installation:
The goal of this section is to run roslaunch aloha 4arms_teleop.launch, which starts
communication with 4 robots and 3 cameras. It should work after finishing the following steps:
Step 1: Connect 4 robots to the computer via USB, and power on. Do not use extension cable or usb hub.
To check if the robot is connected, install dynamixel wizard here
Dynamixel wizard is a very helpful debugging tool that connects to individual motors of the robot. It allows
things such as rebooting the motor (very useful!), torque on/off, and sending commands.
However, it has no knowledge about the kinematics of the robot, so be careful about collisions.
The robot will collapse if motors are torque off i.e. there is no automatically engaged brakes in joints.
Open Dynamixel wizard, go into options and select:
Protocal 2.0
All ports
1000000 bps
ID range from 0-10
Note: repeat above everytime before you scan.
Then hit Scan. There should be 4 devices showing up, each with 9 motors.
One issue that arises is the port each robot binds to can change over time, e.g. a robot that
is initially ttyUSB0 might suddenly become ttyUSB5. To resolve this, we bind each robot to a fixed symlink
port with the following mapping:
ttyDXL_master_right: right master robot (master: the robot that the operator would be holding)
ttyDXL_puppet_right: right puppet robot (puppet: the robot that performs the task)
ttyDXL_master_left: left master robot
ttyDXL_puppet_left: left puppet robot
Take ttyDXL_master_right: right master robot as an example:
Find the port that the right master robot is currently binding to, e.g. ttyUSB0
run udevadm info --name=/dev/ttyUSB0 --attribute-walk | grep serial to obtain the serial number. Use the first one that shows up, the format should look similar to FT6S4DSP.
sudo vim /etc/udev/rules.d/99-fixed-interbotix-udev.rules and add the following line:
SUBSYSTEM=="tty", ATTRS{serial}=="<serial number here>", ENV{ID_MM_DEVICE_IGNORE}="1", ATTR{device/latency_timer}="1", SYMLINK+="ttyDXL_master_right"
This will make sure the right master robot is always binding to ttyDXL_master_right
Repeat with the rest of 3 arms.
To apply the changes, run sudo udevadm control --reload && sudo udevadm trigger
If successful, you should be able to find ttyDXL* in your /dev
Step 2: Set max current for gripper motors
Open Dynamixel Wizard, and select the wrist motor for puppet arms. The name of it should be [ID:009] XM430-W350
Tip: the LED on the base of robot will flash when it is talking to Dynamixel Wizard. This will help determine which robot is selected.
Find 38 Current Limit, enter 300, then hit save at the bottom.
Repeat this for both puppet robots.
This limits the max current through gripper motors, to prevent overloading errors.
Step 3: Setup 3 cameras
You may use usb hub here, but maximum 2 cameras per hub for reasonable latency.
To make sure all 3 cameras are binding to a consistent port, similar steps are needed.
Cameras are by default binding to /dev/video{0, 1, 2...}, while we want to have symlinks {CAM_RIGHT_WRIST, CAM_LEFT_WRIST, CAM_HIGH}
Take CAM_RIGHT_WRIST as an example, and let's say it is now binding to /dev/video0. run udevadm info --name=/dev/video0 --attribute-walk | grep serial to obtain it's serial. Use the first one that shows up, the format should look similar to 0E1A2B2F.
Then sudo vim /etc/udev/rules.d/99-fixed-interbotix-udev.rules and add the following line
SUBSYSTEM=="video4linux", ATTRS{serial}=="<serial number here>", ATTR{index}=="0", ATTRS{idProduct}=="085c", ATTR{device/latency_timer}="1", SYMLINK+="CAM_RIGHT_WRIST"
Repeat this for {CAM_LEFT_WRIST, CAM_HIGH} in additional to CAM_RIGHT_WRIST
To apply the changes, run sudo udevadm control --reload && sudo udevadm trigger
If successful, you should be able to find {CAM_RIGHT_WRIST, CAM_LEFT_WRIST, CAM_HIGH} in your /dev
Step 4: Setup the AgileX Tracer base
Connect the base to the computer via the stock CANBUS-to-USB cable, and power on.
Install SDK from AgileX
pip3 install pyagxrobots
Enable gs_usb kernel module
sudo modprobe gs_usb
Bring up the CAN device
sudo ip link set can0 up type can bitrate 500000
If no error occured in the previous steps, you should be able to see the can device now by using command
ifconfig -a
Install and use can-utils to test the hardware
sudo apt install can-utils
Testing commands:
# receiving data from can0
candump can0
At this point, have a new terminal
conda deactivate # if conda shows up by default
source /opt/ros/noetic/setup.sh && source ~/interbotix_ws/devel/setup.sh
roslaunch aloha 4arms_teleop.launch
If no error message is showing up, the computer should be successfully connected to all 3 cameras, all 4 robot arms and the robot base.
Trouble shooting
Make sure Dynamixel Wizard is disconnected, and no app is using webcam's stream. It will prevent ROS from connecting to
these devices.
Notice: Before running the commands below, be sure to place all 4 robots in their sleep positions, and open master robot's gripper.
All robots will rise to a height that is easy for teleoperation.
# ROS terminal
conda deactivate
source /opt/ros/noetic/setup.sh && source ~/interbotix_ws/devel/setup.sh
roslaunch aloha 4arms_teleop.launch
# Right hand terminal
conda activate aloha
cd ~/interbotix_ws/src/aloha/aloha_scripts
python3 one_side_teleop.py right
# Left hand terminal
conda activate aloha
cd ~/interbotix_ws/src/aloha/aloha_scripts
python3 one_side_teleop.py left
The teleoperation will start when the master side gripper is closed.
Example Usages
To set up a new terminal, run:
conda activate aloha
cd ~/interbotix_ws/src/aloha/aloha_scripts
The one_side_teleop.py we ran is for testing teleoperation and has no data collection. To collect data for an episode, run:
python3 record_episodes.py --dataset_dir <data save dir> --episode_idx 0
This will store a hdf5 file at <data save dir>.
To change episode length and other params, edit constants.py directly.
To visualize the episode collected, run:
python3 visualize_episodes.py --dataset_dir <data save dir> --episode_idx 0
To replay the episode collected with real robot, run:
python3 replay_episodes.py --dataset_dir <data save dir> --episode_idx 0
To lower 4 robots before e.g. cutting off power, run:
Yes — MarkFzp/mobile-aloha ships under the MIT license, which makes its source code freely readable (and, depending on license terms, forkable and reusable). Source: github.com/MarkFzp/mobile-aloha.
What is MarkFzp/mobile-aloha?
MarkFzp/mobile-aloha (MarkFzp/mobile-aloha) is a Jupyter Notebook project on GitHub. From the project's own README: Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Where do I read more about MarkFzp/mobile-aloha?
This TopGit page is a snapshot — the READ ME tab shows the project's own README content (links stripped, images preserved). The GitHub repository at github.com/MarkFzp/mobile-aloha is the definitive source.
Read full README in the tab above.
Want a second opinion on mobile-aloha?
Ask an AI that can read this page — one click and you get its take on mobile-aloha.