gtrll / piper

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factor-graphs gpmp2 motion-planning probabilistic-inference robotics ros steap trajectory-estimation

PIPER

PIPER (Probabilistic Inference based Platform for Essential problems in Robotics) is a modular package that provides support for algorithms that use probabilistic inference on factor graphs to solve various robotics problems. Each module can be independently installed and implements an easy ROS interface for that algorithm to run on any simulated or real robots. Currently PIPER supports the following algorithms:

PIPER is being developed by Mustafa Mukadam at the Georgia Tech Robot Learning Lab. See documentation for information on usage and development.


Table of Contents


Prerequisites

Compilation and Installation

Questions and Bug reporting

Please use Github issue tracker to report bugs. For other questions please contact Mustafa Mukadam.

Citing

If you use PIPER in an academic context, please cite any module/algorithm specific publications you use, and cite the following:

@article{mukadam2017piper,
  title={{PIPER}},
  author={Mukadam, Mustafa},
  journal={[Online] Available at \url{https://github.com/gtrll/piper}},
  year={2017}
}

FAQs

License

PIPER is released under the BSD license. See LICENSE file in this directory.