Teleoperation for a ball-catching task with significant dynamics

Neural Netw. 2008 May;21(4):604-20. doi: 10.1016/j.neunet.2008.03.011. Epub 2008 Apr 27.

Abstract

In this paper we present ongoing work on how to incorporate human motion models into the design of a high performance teleoperation platform. A short description of human motion models used for ball-catching is followed by a more detailed study of a teleoperation platform on which to conduct experiments. Also, a pilot study using minimum jerk theory to explain user input behavior in teleoperated catching is presented.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Artificial Intelligence*
  • Biomechanical Phenomena / instrumentation
  • Biomechanical Phenomena / methods
  • Computer Simulation
  • Electronics, Medical / instrumentation
  • Electronics, Medical / methods
  • Feedback / physiology
  • Humans
  • Motor Skills / physiology*
  • Movement / physiology*
  • Neurosciences / instrumentation*
  • Neurosciences / methods
  • Neurosciences / trends
  • Psychomotor Performance / physiology
  • Robotics / instrumentation
  • Robotics / methods*
  • Robotics / trends
  • Software
  • User-Computer Interface*