PnC
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Planning and Control Algorithms for Robotics
Planning and Control Algorithms for Robotics
PnC is a C++ library designed for generating trajectories for a robot system and stabilizing the system over the trajectories.
Installation
- Install cmake:
source scripts/install/install_cmake.sh - Install doxygen:
source scripts/install/install_doxygen.sh - Install zmq and cppzmq:
source scripts/install/install_zmq.sh - Install protobuf:
source scripts/install/install_protobuf.sh - Install plotjuggler:
source scripts/install/install_plotjuggler.sh - Install dart:
source scripts/install/install_dart.sh - Install anaconda
- Install python dependancies:
conda env create -f pnc.yml - Clone the repository:
git clone https://github.com/junhyeokahn/PnC.git
Compile and Run the Code
- Initiate python env:
conda activate pnc - Compile:
mkdir build && cd build && cmake.. && make -j4 - Run dart sim:
./build/bin/run_atlas - Run pybullet sim:
python simulator/pybullet/draco_main.py
API documentation
- Create doxygen:
mkdir build && cd build && cmake.. && make view_docs
Citation
@article{10.3389/frobt.2021.712239,
author = {Ahn, Junhyeok and Jorgensen, Steven Jens and Bang, Seung Hyeon and Sentis, Luis},
journal = {Frontiers in Robotics and AI},
pages = {257},
title = {Versatile Locomotion Planning and Control for Humanoid Robots},
volume = {8},
year = {2021}}