mit-acl / mppi_numba

A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.

Date Created 2022-09-28 (2 years ago)

Commits 51 (last one 3 months ago)

Stargazers 190 (1 this week)

Watchers 5 (0 this week)

Forks 18

License mit

Ranking

RepositoryStats indexes 585,880 repositories, of these mit-acl/mppi_numba is ranked #185,703 (68th percentile) for total stargazers, and #332,676 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,275/17,153.

mit-acl/mppi_numba is also tagged with popular topics, for these it's ranked: python (#8,795/22039), robotics (#463/1254), gpu (#425/902), motion-planning (#55/143)

All Topics

gpu mppi numba python robotics traversability motion-planning sampling-based-planning

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51 commits on the default branch (release) since jan '22

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updated: 2024-11-23 @ 12:15am, id: 542694718 / R_kgDOIFjdPg