Environment recognition system for biped walking robot using vision based sensor fusion

  • Authors:
  • Tae-Koo Kang;Heejun Song;Dongwon Kim;Gwi-Tae Park

  • Affiliations:
  • Department of Electrical Engineering, Korea University, Seoul, Korea;Department of Electrical Engineering, Korea University, Seoul, Korea;Department of Electrical Engineering, Korea University, Seoul, Korea;Department of Electrical Engineering, Korea University, Seoul, Korea

  • Venue:
  • IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
  • Year:
  • 2007

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Abstract

This paper addresses the method of environment recognition specialized for biped walking robot. Biped walking robot should have the ability to autonomously recognize its surrounding environment and make right decisions in corresponding to its situation. In the realization of the vision system for biped walking robot, two algorithms have been largely suggested, they are; object detection system with unknown objects, and obstacle recognition system. By using the techniques mentioned above, a biped walking robot becomes to be available to autonomously move and execute various user-assigned tasks in an unknown environment. From the results of experiments, the proposed environment recognition system can be said highly available to be applied to biped walking robot walking and operated in the real world.