Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 01, 2022 - June 04, 2022
In recent years, many systems and robots have been installed in artificial environments such as urban areas and factories.They are also operated in natural environments such as forests and waters.In such places and scenes, the arrangement of people and objects is constantly changing due to their moving, and in addition, there is a possibility that an unknown environment which engineers cannot preliminarily estimate would appear.In order for a plurality of robots to perform stable operations in such unstable environments, some cooperation between the robots must be important.Assuming that the whole is regarded as an autonomous decentralized system in this study, we examine what kind of interactions between multiple robots (agents) can be formed when reinforcement learning based on trial and error is individually applied to each robot (agent).
