https://github.com/anindex/motion_planning_baselines

Implement various MP methods.

https://github.com/anindex/motion_planning_baselines

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Repository

Implement various MP methods.

Basic Info
  • Host: GitHub
  • Owner: anindex
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 670 KB
Statistics
  • Stars: 14
  • Watchers: 2
  • Forks: 5
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

Motion Planning Baselines in PyTorch

This library implements various Motion Planning methods.

NOTE: mp_baslines is under heavy development and highly experimental.

Installation

Simply activate your conda/Python environment and run

bash pip install -e .

Examples

bash python examples/pointmass_dense_2d_CHOMP.py python examples/pointmass_dense_2d_GPMP.py python examples/pointmass_grid_circles_2d_Stoch-GPMP.py python examples/pointmass_grid_circles_2d_STOMP.py python examples/pointmass_grid_circles_2d_MPPI.py python examples/pointmass_dense_2d_RRT_multiprocess.py

Contact

If you have any questions or find any bugs, please let us know:

Citation

If you found this repository useful, please consider citing these references:

```bibtex @inproceedings{le2023accelerating, title={Accelerating Motion Planning via Optimal Transport}, author={Le, An T. and Chalvatzaki, Georgia and Biess, Armin and Peters, Jan}, booktitle={Advances in Neural Information Processing Systems (NeurIPS)}, year={2023} }

@article{carvalho2023motion, title={Motion planning diffusion: Learning and planning of robot motions with diffusion models}, author={Carvalho, Joao and Le, An T and Baierl, Mark and Koert, Dorothea and Peters, Jan}, journal={arXiv preprint arXiv:2308.01557}, year={2023} } ```

Owner

  • Name: An Thai Le
  • Login: anindex
  • Kind: user
  • Location: Germany
  • Company: Technische Universität Darmstadt

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