# mit-acl/mppi\_numba

<https://repo.masters-masters.com/en/repos/mit-acl/mppi_numba>

[Home](https://repo.masters-masters.com/en) › [mit-acl](https://repo.masters-masters.com/en/owners/mit-acl) › [mppi\_numba](https://repo.masters-masters.com/en/repos/mit-acl/mppi_numba)

mit-acl/mppi\_numba has 322 stars on GitHub. Its RepoMasters card: Alpha tier. A GPU implementation of Model Predictive Path Integral (MPPI) control that uses…

| Field | Value |
| --- | --- |
| Owner | [mit-acl](https://repo.masters-masters.com/en/owners/mit-acl) |
| Stars | 322 |
| Forks | 23 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Topics | gpu, motion-planning, mppi, numba, python, traversability, robotics, sampling-based-planning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [mit-acl/mppi\_numba](https://github.com/mit-acl/mppi_numba) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.