Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
404721 | Neural Networks | 2008 | 17 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Christian Smith, Mattias Bratt, Henrik I. Christensen,