New motion planner for wheeled robots to get around obstacles faster and more efficiently

Skoltech researchers have developed a method to enable wheeled robots to avoid obstacles in a fast, efficient, and natural way when moving in a crowded setting. Reported in IEEE Robotics and Automation Letters, the new motion planner leverages machine learning and could be useful for robotic disinfection, inventory counting, and car parking.