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https://github.com/aria-systems-group/chance-constrained-k-cbs

Kinodynamic-CBS (K-CBS) is a decentralized motion planning algorithm capable of solving complex multi-agent motion planning queries for agent with complex, possibly unique, kinodynamic constraints.

https://github.com/aria-systems-group/chance-constrained-k-cbs

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
  • ✓
    Academic publication links
    Links to: ieee.org
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (4.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Kinodynamic-CBS (K-CBS) is a decentralized motion planning algorithm capable of solving complex multi-agent motion planning queries for agent with complex, possibly unique, kinodynamic constraints.

Basic Info
  • Host: GitHub
  • Owner: aria-systems-group
  • License: gpl-3.0
  • Language: C++
  • Default Branch: main
  • Homepage:
  • Size: 620 KB
Statistics
  • Stars: 13
  • Watchers: 1
  • Forks: 3
  • Open Issues: 3
  • Releases: 0
Created almost 5 years ago · Last pushed over 2 years ago
Metadata Files
Readme License

README.md

Chance Constrained K-CBS

Chance Constrained Kinodynamic-CBS (CCK-CBS) is a decoupled motion planning algorithm capable of solving complex multi-agent motion planning queries for robots with uncertain dynamics due to process and/or measurement noise. For details on the inner workings of the algorithm, please see our 2023 IEEE RAL Publication.

Note

This repository is the working implementation of CCK-CBS that requires (The Open Motion Planning Library) (OMPL) to run. If you are interested in the traditional K-CBS implementation from our 2022 IEEE IROS Publication, then please proceed to the new repository. Thank you for your cooperation and please feel free to open an issue if you have any questions.

Owner

  • Name: ARIA Systems Group
  • Login: aria-systems-group
  • Kind: organization
  • Location: Smead Aerospace Engineering Sciences at the University of Colorado Boulder

GitHub Events

Total
  • Watch event: 3
Last Year
  • Watch event: 3

Dependencies

Dockerfile docker
  • ubuntu 22.04 build