This repository is forked from mit-biomimetics/Cheetah-Software.
cd Cheetah-Software
mkdir mc-build && cd mc-build
cmake -DPYTHON_EXECUTABLE:FILEPATH=/usr/bin/python3.6 ..
make -j4
make install
ldconfig -v
export PYTHONPATH=$PYTHONPATH:$LOCAL_BUILD/lib
Then, in python:
import pycheetah
There are simple tests for the python bindings in python/binding_tests.py
.
You will need to install RaiSim and the Raisimpy python bindings (https://github.com/robotlearn/raisimpy).
Then, run the python script python/raisim_control.py
which executes the MIT Controller on the mini cheetah in RaiSim. The video is saved as video/raisim.mp4
.
Here's a video of mini-cheetah trotting on rough terrain in RaiSim using Convex MPC and WBIC.
If you are running on a remote server, you may want to use xvfb to generate video headlessly: xvfb-run -a --server-args="-screen 0, 1280x1024x24" python3 raisim_control.py
In RaiSim, you can easily generate custom terrains, simulate objects, adjust surface properties, and more.
The NeuralGaitMPC controller is under construction. Currently, it accepts the gait parameters (offset, duration, velocity) as an argument to its run
function. You can see an example usage of the python bindings in python/raisim_control_adaptive_gait.py
.
Here's a video of mini-cheetah making a preprogrammed gait switch on rough terrain.