Inter-Robot Learning in Multi-Robot System
Abhijeet A. Ravankar, Ankit A. Ravankar, Yukinori Kobayashi, Takanori Emaru · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2017
An inter-robot learning strategy to track the dynamic changes in the environment is proposed. The robots ‘teach’ other robots about the changes encountered at remote locations of the map enabling them to achieve efficiency in path planning and task coordination. With the proposed method, a robot is able to learn about the obstacles in remote locations of the map and plans its path by considering the updated obstacle information. This is better than the traditional path planning in which robot has to re-plan its path upon finding obstacles.