• DocumentCode
    2691893
  • Title

    Treebot: Autonomous tree climbing by tactile sensing

  • Author

    Lam, Tin Lun ; Xu, Yangsheng

  • Author_Institution
    Shenzhen Inst. of Adv. Technol., Shenzhen, China
  • fYear
    2011
  • fDate
    9-13 May 2011
  • Firstpage
    789
  • Lastpage
    794
  • Abstract
    This paper proposed an autonomous tree climbing algorithm for a novel tree climbing robot named Treebot. Making a robot realize an environment and climb on a tree autonomously is a challenging task as the shape of tree is complex and irregular. To our best knowledge, this is the first paper dealing with the autonomous climbing problem in an unknown tree environment. The proposed method is aimed to use minimal sensing resources to achieve autonomous climbing. It reconstructs the shape of tree by using tactile sensors and guides the robot to climb along an optimal path. Numerous experiments have been carried out and the results are satisfactory.
  • Keywords
    mobile robots; tactile sensors; Treebot; autonomous tree climbing robot; minimal sensing resources; optimal path; tactile sensing; unknown tree environment; Approximation methods; Grippers; Robot sensing systems; Shape; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-61284-386-5
  • Type

    conf

  • DOI
    10.1109/ICRA.2011.5979837
  • Filename
    5979837