Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning

no code implementations • 18 Jan 2020 • Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton de Ruiter, Jonathan P. How

This paper introduces a hybrid algorithm of deep reinforcement learning (RL) and Force-based motion planning (FMP) to solve distributed motion planning problem in dense and dynamic environments.

Motion Planning Reinforcement Learning (RL)

Force-based Algorithm for Motion Planning of Large Agent Teams

no code implementations • 10 Sep 2019 • Samaneh Hosseini Semnani, Anton de Ruiter, Hugh Liu

This paper presents a distributed, efficient, scalable and real-time motion planning algorithm for a large group of agents moving in 2 or 3-dimensional spaces.

Collision Avoidance Motion Planning +1