Presentation 1996/10/28
Calculating Optimal Criteria for Trajectory Planning Using Observed Movement Data
Rieko OSU, Yoji UNO, Yasuharu KOIKE, Mitsuo KAWATO,
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Abstract(in English) Various optimal criteria have been proposed for trajectory planning in multi-joint arm movements. The minimum-jerk criterion plans smooth trajectories in the extrinsic task space. The minimum-joint-angle-jerk criteria, the minimum-torque-change criteria, and the minimum-motor-command-change criteria plan smooth trajectories in the intrinsic body space. Assuming that realized trajectories reflect planned trajectories, we compared the values of above four optimal criteria calculated from observed movement data. If the value of a certain criterion is larger in a spontaneously generated movement than in some other movement, that criterion can be rejected. If, however, the value of a certain criterion is smaller in a spontaneously generated movement than in any other movement, it supports that criterion. We investigated plausibility of these models by calculating optimal criteria using observed movement data.
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Keyword(in English) trajectory planning / optimal criteria / EMG
Paper # NC96-48
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Committee NC
Conference Date 1996/10/28(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Calculating Optimal Criteria for Trajectory Planning Using Observed Movement Data
Sub Title (in English)
Keyword(1) trajectory planning
Keyword(2) optimal criteria
Keyword(3) EMG
1st Author's Name Rieko OSU
1st Author's Affiliation ATR Human Information Processing Res. Labs.:Kawato Dynamic Brain Project, JST()
2nd Author's Name Yoji UNO
2nd Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology
3rd Author's Name Yasuharu KOIKE
3rd Author's Affiliation Bioresearch laboratory, Future Project Division No.1, Toyota Motor Corporation
4th Author's Name Mitsuo KAWATO
4th Author's Affiliation ATR Human Information Processing Res. Labs.
Date 1996/10/28
Paper # NC96-48
Volume (vol) vol.96
Number (no) 331
Page pp.pp.-
#Pages 8
Date of Issue