Teleoperation for a ball-catching task with significant dynamics.

Full 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.

Author information

Author/s: Smith, Christian (C); Bratt, Mattias (M); Christensen, Henrik I (HI);

Affiliation: Center for Autonomous Systems, Swedish Royal Institute of Technology, Stockholm, Sweden. ccs(-atsign-)kth.se

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Neural networks : the official journal of the International Neural Network Society (Neural Netw), published in United States. (Language: eng)

Reference: 2008-May; vol 21 (issue 4) : pp 604-20

Dates: Created 2008/06/16; Completed 2008/10/07;

PMID: 18490137, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: )

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