エージェントのインタラクション戦略探索のための没入型発見法:エージェントの自由度とインタラクション戦略の変化

概要

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We propose an alternative approach to find each robotic agent's unique interaction strategies, called Immersing Discovery Method. In this approach, the human manipulator behaves as if she/he becomes the robot and finds efficient interaction strategies based on each robot's shape and modalities. We implement the system including a reconfigurable body robot, an easier manipulation system, and a recording system to evaluate the validity of our method. We evaluate a block-assembling task by the system by turning on and off the modality of the robot's head. Subsequently, the robot's motion during player's motion significantly increases whereas the ratio of confirmatory behavior significantly decreases in the head-fixed design. This result suggests that the robot leads the users and the user follows the robot in head-fixed condition not as in a normal turn-taking interaction style of the head-free condition.