Skip to content

spencerfolk/kr_autonomous_flight

 
 

Repository files navigation

alt text

This is the autonomous flight code stack used at KumarRobotics, providing a complete solution for GPS-denied quadcopter autonomy. It has been tested extensively in challenging urban and rural (under forest canopy) environments.

Docker Build Base Docker Build Client Docker Build Control Docker Build Estimation Docker Build Map_plan Docker Build State_machine Docker Build Sim

High-level Code Structure

alt text

Documentation and Instructions

Please refer to our Wiki page for detailed instructions about how to use this code.

Videos

Real-world experiments on large-scale autonomous flight and semantic SLAM in forests (3-min video-only)

Real-world experiments on large-scale autonomous flight and semantic SLAM in forests (5-min with voice-over)

Simulation experiments on fast autonomous flight in urban and rural environments

Contributing

Please do not hesitate to open a PR on Github.

Citation

If you use this stack in your work, please cite:

@inproceedings{liu2022large,
title={Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy},
author={Liu, Xu and Nardari, Guilherme V and Ojeda, Fernando Cladera and Tao, Yuezhan and Zhou, Alex and Donnelly, Thomas and Qu, Chao and Chen, Steven W and Romero, Roseli AF and Taylor, Camillo J and Kumar, Vijay},
journal={IEEE Robotics and Automation Letters (RA-L)},
year={2022}
}
@article{mohta2018fast,
  title={Fast, autonomous flight in GPS-denied and cluttered environments},
  author={Mohta, Kartik and Watterson, Michael and Mulgaonkar, Yash and Liu, Sikang and Qu, Chao and Makineni, Anurag and Saulnier, Kelsey and Sun, Ke and Zhu, Alex and Delmerico, Jeffrey and others},
  journal={Journal of Field Robotics},
  volume={35},
  number={1},
  pages={101--120},
  year={2018},
  publisher={Wiley Online Library}
}

License

This code is released using the Penn Software Licence. Please refer to LICENSE.txt for details.

About

Autonomous flight system for aerial robots

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 86.3%
  • Python 6.8%
  • CMake 4.5%
  • Shell 1.4%
  • Other 1.0%