• DocumentCode
    2911418
  • Title

    Comprehension and prediction of astronaut dynamics

  • Author

    Benjamin, D. Paul ; Monaco, John Vincent ; Lin, Yixia ; Lyons, Damian M.

  • Author_Institution
    Pace Univ., New York, NY, USA
  • fYear
    2011
  • fDate
    5-12 March 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    A robot collaborating with astronauts needs to comprehend and predict their movements. We present an approach to perceiving and modeling astronaut movement using a 3D virtual world. The robot´s visual data is registered with the virtual world to construct a model of the astronauts´ dynamics and predict future motions using a physics engine. This enables the robot to interact more naturally with the humans and to avoid potentially disastrous mistakes.
  • Keywords
    aerospace robotics; astronomy computing; cognitive systems; human-robot interaction; solid modelling; virtual reality; 3D virtual world; astronaut dynamics; human robot interaction; physics engine; Adaptation model; Automata; Cognition; Robot sensing systems; Semantics; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2011 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4244-7350-2
  • Type

    conf

  • DOI
    10.1109/AERO.2011.5747551
  • Filename
    5747551