Robot Catching: Towards Engaging Human-Humanoid Interaction

  • Authors:
  • Marcia Riley;Christopher G. Atkeson

  • Affiliations:
  • ATR Information Sciences Division, 2-2-2 Hikaridai, Seika-Cho Soraku-gun, Kyoto 619-0288, Japan&semi/ College of Computing, GVU, Georgia Institute of Technology, USA. mriley@isd.atr.co.jp< ...;ATR Information Sciences Division, Japan&semi/ Robotics Institute, Carnegie Mellon University, USA. cga@andrew.cmu.edu www.cs.cmu.edu/~cga

  • Venue:
  • Autonomous Robots
  • Year:
  • 2002

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Abstract

Our focus is on creating interesting and human-like behaviors for humanoid robots and virtual characters. Interactive behaviors are especially engaging. They are also challenging, as they necessitate finding satisfactory realtime solutions for complex systems such as the 30-degree-of-freedom humanoid robot in our laboratory. Here we describe a catching behavior between a person and a robot. We generate ball-hand impact predictions based on the flight of the ball, and human-like motion trajectories to move the hand to the catch position. We use a dynamical systems approach to produce the motion trajectories where new movements are generated from motion primitives as they are needed.