---
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](https://github.com/mihdalal/neuralmotionplanner) are released under an MIT License.

For full details, please read [our paper](https://mihdalal.github.io/neuralmotionplanner/) and see [our project page](https://mihdalal.github.io/neuralmotionplanner/).