Presentation 2004/3/11
A Hybrid Method for Calculating the Optimal Trajectory
Daisuke MIZUNO, Youji UNO,
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Abstract(in English) It is well known that two different types of methods can be used to calculate the optimal trajectory under some constraints. One is Newton-like method based on Euler-Lagrange equations, and the other is a gradient descent method with a penalty term. Both methods have some problems. A hybrid method, which was a combination of a gradient descent method and Newton-like method, was proposed to solve those problems. However, the optimal trajectory could not necessarily be calculated using the hybrid method. In this study, we revise the hybrid method stably to calculate the optimal solution. Here, the calculation of the minimum torque-change trajectory, which is similar to actual human arm trajectory, was tested. It was confirmed by computer simulation that the optimal trajectory could be calculated using the revised method.
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Keyword(in English) optimal trajectory / gradient descent method / Newton-like method / hybrid method / minimum torque-change model
Paper # NC2003-169
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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) A Hybrid Method for Calculating the Optimal Trajectory
Sub Title (in English)
Keyword(1) optimal trajectory
Keyword(2) gradient descent method
Keyword(3) Newton-like method
Keyword(4) hybrid method
Keyword(5) minimum torque-change model
1st Author's Name Daisuke MIZUNO
1st Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology()
2nd Author's Name Youji UNO
2nd Author's Affiliation Department of Information and Computer Sciences, Toyohashi University of Technology
Date 2004/3/11
Paper # NC2003-169
Volume (vol) vol.103
Number (no) 733
Page pp.pp.-
#Pages 6
Date of Issue