State representation with perceptual constancy based on active motion

  • Authors:
  • Manabu Gouko;Yuichi Kobayashi

  • Affiliations:
  • Department of Electrical and Electronic Engineering, College of Engineering, Nihon University, Koriyama, Fukushima, Japan;Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan

  • Venue:
  • ICSR'10 Proceedings of the Second international conference on Social robotics
  • Year:
  • 2010

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Abstract

In a robot system, it is important to consider how the outside environment is expressed as a state using sensor information. In this study, we provide a state representation that can express the sensor output changed by environmental change as the same state. It assumes that sensor outputs are probability distributions, and the distances between the distributions of each sensor's output are used to express a state. To confirm the effectiveness of the proposed state representation, we conducted experiments using a mobile robot. The results confirmed that the proposed representation could recognize similar states using a converted sensor output.