Skip to content

Latest commit

 

History

History
79 lines (55 loc) · 2.57 KB

README.md

File metadata and controls

79 lines (55 loc) · 2.57 KB

Model Predictive Control for Bipedal Robot TRON 1 in MuJoCo Simulator

video

This work is focused on the study of convex MPC for bipedal robots. Convex model predictive control can be applied not only to quadruped robots but also to biped robots.

Important matter

This project is currently running only on ros2！！

Please check the ros versions supported by your operating system！！

Build Package

Install ROS2 according to your operating system (my operating system is ubuntu 22.04 with ros2-humble)

If you are freshman, it is recommended to use this command line in terminal:

wget http://fishros.com/install -O fishros && . fishros

First, choose 1: '一键安装(推荐):ROS(支持ROS/ROS2,树莓派Jetson)'.

Second, choose 1: '更换系统源再继续安装'.

Third, choose 1: 'humble(ros2)'.

Finally, choose 1: 'humble(ros2)桌面版'.

Then, the ros2 is successfully installed. For more details please refer to fishros. Thank fishros for his contributions!!!!!!!

If ros2 cannot be successfully installed in your operating system, please refer to ROS2 official doc.

Dependency

sudo apt-get install ros-<ros2-distro>-eigenpy
sudo apt-get install ros-<ros2-distro>-pinocchio

For ros2(humble)

sudo apt-get install ros-humble-eigenpy
sudo apt-get install ros-humble-pinocchio

Build

git clone https://github.com/81578823/Bipedal_MPC.git
cd Bipedal_MPC & bash build.sh
echo "source Bipedal_MPC/install/setup.bash" >> ~/.bashrc

Run Package

Run Simulation

ros2 launch sim sim_launch.py

Run Controller

ros2 launch management management_launch.py

Change Velocity

if don't have the remote controller, you can change the linear velocity and angular velocity on this code file: photo

Then you can change the velocities on the JoyStick::getLinearVelCmd() and JoyStick::getYawVelCmd() (default: 0.4 (linear); 0.0 (angular))

Future work

Nowadays, more and more people are used to using python. Hence, we will focus on converting the C++ work into a respository in python. So please waiting ...

Reference

J. Di Carlo, P. M. Wensing, B. Katz, G. Bledt and S. Kim, "Dynamic Locomotion in the MIT Cheetah 3 Through Convex Model-Predictive Control," 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018, pp. 1-9, doi: 10.1109/IROS.2018.8594448. keywords: {Robot kinematics;Legged locomotion;Dynamics;Predictive control;Convex functions;Predictive models},