Presentation 2004/3/11
Sensorimotor Integration Model for Predictive Control of Reach-to-Grasp
Naohiro TAKEMURA, Toshio INUI, Takao FUKUI,
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Abstract(in English) The control of reach-to-grasp movement can be realized by integrating feedforward and feedback controls. However, there is some question about the nature of this integration. We proposed a model of this integration based on the Kalman filter, and we used this model to simulate the temporal and spatial effects of visual feedback to the grasping component of the reach-to-grasp movement (Fukui and Inui). This simulation demonstrated the importance of visual information about the target object, especially during the early stage of movement, to control the reach-to-grasp movement. Furthermore, we also discuss trade-offs of speed and accuracy in the reaching component of the reach-to-grasp movement.
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Keyword(in English) reach-to-grasp movement / motor control model / sensorimotor integration / predictive control / Kalman filter
Paper # NC2003-165
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Committee NC
Conference Date 2004/3/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sensorimotor Integration Model for Predictive Control of Reach-to-Grasp
Sub Title (in English)
Keyword(1) reach-to-grasp movement
Keyword(2) motor control model
Keyword(3) sensorimotor integration
Keyword(4) predictive control
Keyword(5) Kalman filter
1st Author's Name Naohiro TAKEMURA
1st Author's Affiliation Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University()
2nd Author's Name Toshio INUI
2nd Author's Affiliation Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University
3rd Author's Name Takao FUKUI
3rd Author's Affiliation Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University
Date 2004/3/11
Paper # NC2003-165
Volume (vol) vol.103
Number (no) 733
Page pp.pp.-
#Pages 6
Date of Issue