• DocumentCode
    3020320
  • Title

    Using Time-of-Flight cameras with active gaze control for 3D collision avoidance

  • Author

    Droeschel, David ; Holz, Dirk ; Stückler, Jörg ; Behnke, Sven

  • Author_Institution
    Autonomous Intell. Syst. Group, Univ. of Bonn, Bonn, Germany
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    4035
  • Lastpage
    4040
  • Abstract
    We propose a 3D obstacle avoidance method for mobile robots. Besides the robot´s 2D laser range finder, a Time-of-Flight camera is used to perceive obstacles that are not in the scan plane of the laser range finder. Existing approaches that employ Time-of-Flight cameras suffer from the limited field-of-view of the sensor. To overcome this issue, we mount the camera on the head of our anthropomorphic robot Dynamaid. This allows to change the gaze direction through the robot´s pan-tilt neck and its torso yaw joint. The proposed obstacle detection method is robust against kinematic inaccuracies and noise in the range measurements. The gaze controller takes motion blur effects into account and controls the gaze depending on the robot´s motion and the obstacles in its vicinity. In experiments, we demonstrate that our approach enables the robot to avoid obstacles that the laser range finder can not perceive. We also compare our active gaze control strategy with a fixed gaze orientation.
  • Keywords
    collision avoidance; laser ranging; mobile robots; 3D obstacle avoidance method; active gaze control; anthropomorphic robot Dynamaid; fixed gaze orientation; mobile robots; obstacle detection method; range measurements; robot 2D laser range finder; robot pan-tilt neck; time-of-flight cameras; torso yaw joint; Anthropomorphism; Cameras; Collision avoidance; Mobile robots; Motion control; Neck; Noise robustness; Robot sensing systems; Robot vision systems; Torso;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509571
  • Filename
    5509571