• DocumentCode
    2917676
  • Title

    Automatic grasping task with a catadioptric sensor for disabled people

  • Author

    Remazeilles, Anthony ; Leroux, Christophe ; Chalubert, Gérard ; Delahoche, Laurent ; Marhic, Bruno ; Laffont, Isabelle ; Biard, Nicolas

  • Author_Institution
    CEA LIST, Fontenay-aux-Roses
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    2066
  • Lastpage
    2071
  • Abstract
    This paper deals with the design of a robotic platform providing a grasping procedure to assist disabled persons. Like most of the vision-based systems, the camera used to guide the arm toward the object is embedded onto the gripper, which gives a very local view of the environment. We propose to use a catadioptric sensor in order to deal with situations where the object of interest is out of the embedded camera field of view. The mirror used has been especially designed for our robot, satisfying several constraints of the final application. The solution proposed respects one of the main matters of all systems designed for disabled persons, reduce the user strain. A single click is necessary to position the robotic arm toward the direction of the object. Clinical evaluations realized during one month in four medical centers with about 40 users confirm the validity of our system.
  • Keywords
    grippers; handicapped aids; manipulators; robot vision; sensors; automatic grasping task; catadioptric sensor; disabled people; robotic arm; robotic platform; vision-based systems; Cameras; Capacitive sensors; Grippers; Intelligent sensors; Medical robotics; Robot kinematics; Robot sensing systems; Robot vision systems; Robotics and automation; Wheelchairs; catadioptric sensor; medical assessments; service robotics; visionbased object grasping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4244-2286-9
  • Electronic_ISBN
    978-1-4244-2287-6
  • Type

    conf

  • DOI
    10.1109/ICARCV.2008.4795849
  • Filename
    4795849