Footstep planning for biped robot based on fuzzy Q-learning approach

Christophe Sabourin, Kurosh Madani, Weiwei Yu, Jie Yan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The biped robots have more flexible mechanical systems and they can move in more complex environment than wheeled robots. Their abilities to step over both static and dynamic obstacles allow to the biped robots to cross an uneven terrain where ordinary wheeled robots can fail. In this paper we present a footstep planning for biped robots allowing them to step over dynamic obstacles. Our footstep planning strategy is based on a fuzzy Q-learning concept. In comparison with other previous works, one of the most appealing interest of our approach is its good robustness because the proposed footstep planning is operational for both constant and random velocity of the obstacle.

Original languageEnglish
Title of host publicationICINCO 2008 - Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics
Pages183-188
Number of pages6
StatePublished - 2008
EventICINCO 2008 - 5th International Conference on Informatics in Control, Automation and Robotics - Funchal, Madeira, Portugal
Duration: 11 May 200815 May 2008

Publication series

NameICINCO 2008 - Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics
Volume1 RA

Conference

ConferenceICINCO 2008 - 5th International Conference on Informatics in Control, Automation and Robotics
Country/TerritoryPortugal
CityFunchal, Madeira
Period11/05/0815/05/08

Keywords

  • Biped robots
  • Footstep planning
  • Fuzzy Q-learning

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