metadata

license: mit
language:
  - en
tags:
  - robotics
  - motion planning

Neural MP

Neural MP is a machine learning-based motion planning system for robotic manipulation tasks. It combines neural networks trained on large-scale simulated data with lightweight optimization techniques to generate efficient, collision-free trajectories. Neural MP is designed to generalize across diverse environments and obstacle configurations, making it suitable for both simulated and real-world robotic applications. This repository contains the implementation, data generation tools, and evaluation scripts for Neural MP.

All Neural MP checkpoints, as well as our training codebase are released under an MIT License.

For full details, please read our paper and see our project page.