简介 Unitree mujoco UnitreeMujoco 是基于 Unitree SDK2 和 mujoco 开发的仿真器。用户可以轻松集成控制器和仿真器,实现高效的仿真和控制。
简介 Unitree mujoco UnitreeMujoco 是基于 Unitree SDK2 和 mujoco 开发的仿真器。用户可以轻松集成控制器和仿真器,实现高效的仿真和控制。
unitree_mujoco is a simulator developed based on Unitree sdk2 and mujoco. Users can easily integrate the control programs developed with Unitree_sdk2, unitree_ros2, and unitree_sdk2_python into this simulator, enabling a seamless transition from simulation to physical development. The repository includes two versions of the simulator implemented in C++ and Python, with a structure as follows:
simulate: Simulator implemented based on unitree_sdk2 and mujoco (C++, recommended)simulate_python: Simulator implemented based on unitree_sdk2_python and mujoco (Python)unitree_robots: MJCF description files for robots supported by unitree_sdk2terrain_tool: Tool for generating terrain in simulation scenariosexample: Example programsCurrent version only supports low-level development, mainly used for sim to real verification of controller
LowCmd: Motor control commandsLowState: Motor state informationSportModeState: Robot position and velocity dataIMUState: Torso IMU state at rt/secondary_imu topic (G1 only)Note:
SportModeState message is not readable after the built-in motion control service is turned off. However, the simulator retains this message to allow users to utilize the position and velocity information for analyzing the developed control programs.sudo apt install libyaml-cpp-dev libspdlog-dev libboost-all-dev libglfw3-dev
It is recommended to install unitree_sdk2 in /opt/unitree_robotics path.
git clone https://github.com/unitreerobotics/unitree_sdk2.git
cd unitree_sdk2/
mkdir build
cd build
cmake .. -DCMAKE_INSTALL_PREFIX=/opt/unitree_robotics
sudo make install
For more details, see: https://github.com/unitreerobotics/unitree_sdk2
Download the mujoco release, and extract it to the ~/.mujoco directory;
cd unitree_mujoco/simulate/
ln -s ~/.mujoco/mujoco-3.3.6 mujoco
cd unitree_mujoco/simulate
mkdir build && cd build
cmake ..
make -j4
Run:
./unitree_mujoco -r go2 -s scene_terrain.xml
You should see the mujoco simulator with the Go2 robot loaded. In a new terminal, run:
./test
The program will output the robot's pose and position information in the simulator, and each motor of the robot will continuously output 1Nm of torque.
Note: The testing program sends the unitree_go message. If you want to test G1 robot, you need to modify the program to use the unitree_hg message.
AS2 uses the unitree_hg low-level messages. The simulator selects that IDL
automatically when -r as2 is used; -t 1 can be supplied to make the choice
explicit. From simulate/build, start the flat scene with:
./unitree_mujoco -r as2 -s plane_terrain.xml -t 1
Use scene_terrain.xml instead for the rough-terrain scene.
cd ~
sudo apt install python3-pip
git clone https://github.com/unitreerobotics/unitree_sdk2_python.git
cd unitree_sdk2_python
pip3 install -e .
If you encounter an error during installation:
Could not locate cyclonedds. Try to set CYCLONEDDS_HOME or CMAKE_PREFIX_PATH
Refer to: https://github.com/unitreerobotics/unitree_sdk2_python
pip3 install mujoco
pip3 install pygame
cd ./simulate_python
python3 ./unitree_mujoco.py
You should see the mujoco simulator with the Go2 robot loaded. In a new terminal, run:
python3 ./test/test_unitree_sdk2.py
The program will output the robot's pose and position information in the simulator, and each motor of the robot will continuously output 1Nm of torque.
Note: The testing program sends the unitree_go message. If you want to test G1 robot, you need to modify the program to use the unitree_hg message.
The configuration file for the C++ simulator is located at /simulate/config.yaml:
…
The configuration file for the Python simulator is located at /simulate_python/config.py:
…
The simulator will use an Xbox or Switch gamepad to simulate the wireless controller of the robot. The button and joystick information of the wireless controller will be published through "rt/wireless_controller" topic. use_joystick/USE_JOYSTICK in config.yaml/config.py needs to be set to 0, when there is no gamepad. If your gamepad is not in Xbox or Switch layout, you can modify it in the source code (The button and joystick IDs can be determined using jstest):
In simulate/src/unitree_sdk2_bridge/unitree_sdk2_bridge.cc:
…
In simulate_python/unitree_sdk2_bridge.py:
if js_type == "xbox":
self.axis_id = {
"LX": 0, # Left stick axis x
"LY": 1, # Left stick axis y
"RX": 3, # Right stick axis x
"RY": 4, # Right stick axis y
"LT": 2, # Left trigger
"RT": 5, # Right trigger
"DX": 6, # Directional pad x
"DY": 7, # Directional pad y
}
self.button_id = {
"X": 2,
"Y": 3,
"B": 1,
"A": 0,
"LB": 4,
"RB": 5,
"SELECT": 6,
"START": 7,
}
Consider humanoid robots are not suitable for starting in ground, a virtual elastic band was designed to simulate the lifting and lowering of humanoid robots. Setting enable_elastic_mand/ENABLE_ELSTIC_BAND=1 can enable the virtual elastic band. After loading the robot, press' 9 'to activate or release the strap, press' 7' to lower the robot, and press' 8 'to lift the robot.
We provide a tool to parametrically create simple terrains in the mujoco simulator, including stairs, rough ground, and height maps. The program is located in the terrain_tool folder. For specific usage instructions, refer to the README file in the terrain_tool folder.
The example folder contains simple examples of using different interfaces to make the Go2 robot stand up and then lie down. These examples demonstrate how to implement the transition from simulation to reality using interfaces provided by Unitree. Here is an explanation of each folder name:
cpp: Based on C++, using unitree_sdk2 interfacepython: Based on Python, using unitree_sdk2_python interfaceros2: Based on ROS2, using unitree_ros2 interfacecd example/cpp
mkdir build && cd build
cmake ..
make -j4
./stand_go2 # Control the robot in the simulation (make sure the Go2 simulation scene has been loaded)
./stand_go2 enp3s0 # Control the physical robot, where enp3s0 is the name of the network card connected to the robot
if (argc Init(1, "lo");
}
else
{
// Otherwise, use the specified network card
ChannelFactory::Instance()->Init(0, argv[1]);
}
python3 ./stand_go2.py # Control the robot in the simulation (make sure the Go2 simulation scene has been loaded)
python3 ./stand_go2.py enp3s0 # Control the physical robot, where enp3s0 is the name of the network card connected to the robot
if len(sys.argv) < 2:
// If no network card is input, use the simulated domain id and the local network card
ChannelFactoryInitialize(1, "lo")
else:
// Otherwise, use the specified network card
ChannelFactoryInitialize(0, sys.argv[1])
source ~/unitree_ros2/setup.sh
cd example/ros2
colcon build
source ~/unitree_ros2/setup_local.sh # Use the local network card
export ROS_DOMAIN_ID=1 # Modify the domain id to match the simulation
./install/stand_go2/bin/stand_go2 # Run
source ~/unitree_ros2/setup.sh # Use the network card connected to the robot
export ROS_DOMAIN_ID=0 # Use the default domain id
./install/stand_go2/bin/stand_go2 # Run
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