Social Robot Navigation

A subfield of robotics concerned with how a mobile robot should move through environments shared with humans — choosing paths, speeds, and timings that respect social norms as well as physical obstacle avoidance. Classic robot-navigation algorithms optimise for shortest-path safety, but a socially acceptable robot must additionally handle proxemic zones, queueing etiquette, pedestrian group dynamics, right-of-way conventions, and the tendency of crowds to part when they notice a robot (or not). The field is relevant to accessibility because assistive navigation robots for blind users, autonomous wheelchairs, and delivery robots in urban settings all depend on solving social navigation well. Common research challenges include the 'freezing robot problem' in crowds, legible intention signalling to bystanders, and balancing efficiency against social compliance.