2008 Special Issue: Teleoperation for a ball-catching task with significant dynamics

  • Authors:
  • Christian Smith;Mattias Bratt;Henrik I. Christensen

  • Affiliations:
  • Center for Autonomous Systems, Swedish Royal Institute of Technology, Stockholm, Sweden;Center for Autonomous Systems, Swedish Royal Institute of Technology, Stockholm, Sweden;Center for Autonomous Systems, Swedish Royal Institute of Technology, Stockholm, Sweden

  • Venue:
  • Neural Networks
  • Year:
  • 2008

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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.