Deep Learning for Multi-Robotics Path Planning
What it is
A research repository implementing multi-agent path planning using Graph Neural Networks (GNNs) and Reinforcement Learning (RL). It provides a scalable framework for robots to navigate complex network topologies while maintaining fast communication and efficient convergence.
The problem it solves
Developing path planning algorithms that generalize across different network topologies while maintaining fast communication and efficient convergence.
What you could use it for
- Multi-robot path planning in complex environments
- Training robot motion models using Reinforcement Learning
- Simulating multi-agent coordination in various network topologies
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.