• DocumentCode
    1878408
  • Title

    Human-aware robot motion planning with velocity constraints

  • Author

    Shi, Dongqing ; Collins, Emmanuel G., Jr. ; Goldiez, Brian ; Donate, Arturo ; Liu, Xiuwen ; Dunlap, Damion

  • Author_Institution
    Florida State Univ., Tallahassee, FL
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    490
  • Lastpage
    497
  • Abstract
    This paper addresses the issue of how high-speed robots may move among humans such that the robots complete their tasks efficiently while the humans in the environment feel safe and comfortable. It describes the Segway robotic platform used for this research and then discusses the three primary research areas needed to develop the human-aware motion planner. First, it is necessary to conduct experiments with humans to develop human aware velocity constraints as a function of the distance of the robot from a human. Next, these velocity constraints must be used to plan the robot motion in real time. Finally, practical implementation of this motion planner requires the ability to robustly detect humans using the available vision sensors. The approach taken to each of these problems is described in this paper along with preliminary results.
  • Keywords
    man-machine systems; path planning; position control; velocity control; high speed robots; human aware robot motion planning; human detection; velocity constraints; vision sensors; Cognitive robotics; Human robot interaction; Indoor environments; Mechanical engineering; Motion detection; Motion planning; Robot motion; Robot sensing systems; Robustness; Service robots; Human aware motion planning; human detection; human response;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Technologies and Systems, 2008. CTS 2008. International Symposium on
  • Conference_Location
    Irvine, CA
  • Print_ISBN
    978-1-4244-2248-7
  • Electronic_ISBN
    978-1-4244-2249-4
  • Type

    conf

  • DOI
    10.1109/CTS.2008.4543969
  • Filename
    4543969