主催: 一般社団法人 人工知能学会
会議名: 2019年度人工知能学会全国大会（第33回）
回次: 33
開催地: 新潟県新潟市 朱鷺メッセ
開催日: 2019/06/04 - 2019/06/07
This paper presents a new approach named physics projection, through which robots can learn the physical world and predict the effects of their actions actively and online. Physics projection consists of three components: a robot, physical world model, and physics engine. The process of physics projection has a double loop structure comprising (1) a learning loop of the physical world model and (2) a simulation search loop. Experiments were performed using the TurtleBot3 mobile robot and Unity graphic engine. The results clearly showed that the robot predicted the effects of its various actions under the given physical conditions and successfully executed the tasks of carrying a wine glass without dropping it and a cup filled with water without spilling. The robot could predict a catastrophic effect that could not be predicted by a human operator.
