Robot Collision

Robot collision avoidance is a critical area of robotics research focused on ensuring safe and efficient operation of robots, particularly in collaborative and multi-robot environments. Current research emphasizes developing robust algorithms for collision detection and avoidance, incorporating diverse approaches such as deep reinforcement learning, conflict-based search, and control barrier functions, often within frameworks that account for robot dynamics, uncertainty, and communication constraints. These advancements are vital for enabling wider adoption of robots in various applications, from industrial automation and warehouse logistics to search and rescue operations and human-robot collaboration, by mitigating the risks associated with unintended collisions.