主催: 一般社団法人 日本機械学会
会議名: ロボティクス・メカトロニクス 講演会2017
開催日: 2017/05/10 - 2017/05/13
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.