Media Summary: Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full) Reciprocal Velocity Obstacles for real-time multi-agent navigation : 2 agents Reciprocal Velocity Obstacles for real-time multi-agent navigation : 4 agents
Multi Agent Navigation With Reciprocal - Detailed Analysis & Overview
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full) Reciprocal Velocity Obstacles for real-time multi-agent navigation : 2 agents Reciprocal Velocity Obstacles for real-time multi-agent navigation : 4 agents Reciprocal Velocity Obstacles for real-time multi-agent navigation : Reciprocal Dance 4 agents We demonstrate an approach for smooth and collision-free Theta* for geometric path planning. ORCA for path following with collision avoidance. Ad-hoc deadlock detection mechanism.
[RA-L] The video of the paper "Reinforcement Learned Distributed Reciprocal Velocity Obstacles for real-time multi-agent navigation : 12 agents
![[RA-L]Reinforcement Learned MultiRobot Navigation with Reciprocal Velocity Obstacle Rewards (RL-RVO)](https://i.ytimg.com/vi/-8a8Vqm6epM/mqdefault.jpg)
