• DocumentCode
    1964765
  • Title

    Autonomous Stair Climbing with Reconfigurable Tracked Mobile Robot

  • Author

    Ben-Tzvi, Pinhas ; Ito, Shingo ; Goldenberg, Andrew A.

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Toronto Univ., Toronto, ON
  • fYear
    2007
  • fDate
    12-13 Oct. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Mobile robots have been developed for surveillance, reconnaissance and inspection as well as for operation in hazardous environments. Some are intended to explore not only natural terrains but also artificial environments, including stairs. This paper explores algorithms to autonomously climb stairs. The algorithms were derived and implemented for a specific mobile robot with the ability to traverse such obstacles by changing its tracks configuration. Furthermore, algorithms have been developed for conditions under which the mobile robot halts its motion during the climbing process when at risk of flipping over or falling down. The technical problems related to the implementation of some of these functions have been identified and analyzed, and their solutions validated and tested. The algorithms and solutions were validated experimentally, illustrating the effectiveness of autonomous climbing of stairs.
  • Keywords
    mobile robots; motion control; path planning; artificial environments; autonomous stair climbing; climbing process; hazardous environments; natural terrains; reconfigurable tracked mobile robot; Arm; Automatic control; Couplings; Indium tin oxide; Mechanical sensors; Mobile robots; Robot sensing systems; Robotics and automation; Surveillance; Wheels; autonomous climbing; control architecture; mobile robot; robot sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotic and Sensors Environments, 2007. ROSE 2007. International Workshop on
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    978-1-4244-1526-7
  • Electronic_ISBN
    978-1-4244-1527-4
  • Type

    conf

  • DOI
    10.1109/ROSE.2007.4373976
  • Filename
    4373976