Gerard David Howard

Learning Behaviours for Decentralised Multi-Robot Collision Avoidance in Constrained Pathways Using Curriculum Reinforcement Learning

Mobile robot teams often require decentralised autonomous navigation through narrow gaps in limited communication environments (e.g., underground search-and-rescue operations). Existing navigation approaches exhibit suboptimal performance for avoiding multi-robot collisions in such bottlenecks due t