mppi_numba
A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.
Plan safe movement paths for robots using a GPU-based control method.
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Free · no card · unsubscribe anytimeA GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.
mppi_numba has 310 stars on GitHub. It has been forked 23 times. mppi_numba is written mainly in Jupyter Notebook. It has been in active development since 2022. mppi_numba is available under the MIT license. Its main topics are gpu, motion-planning, mppi, numba.
What is mppi_numba?
A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.
Is mppi_numba open source?
mppi_numba is an open-source project. It is released under the MIT license.
Is mppi_numba free?
Yes. mppi_numba is free and open source — you can use, modify and self-host it.
What license does mppi_numba use?
mppi_numba is available under the MIT license.
What language is mppi_numba written in?
mppi_numba is written mainly in Jupyter Notebook.
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