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Optimizing Walking Controllers

delete2009-12-01
delete85
PRE
AI
D
David J. Fleet
A
Aaron Hertzmann
DOI:10.1145/1618452.1618514delete
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Abstract

Abstract

En 中文
This paper describes a method for optimizing the parameters of a physics-based controller for full-body, 3D walking. A modified version of the SIMBICON controller [Yin et al. 2007] is optimized for characters of varying body shape, walking speed and step length. The objective function includes terms for power minimization, angular momentum minimization, and minimal head motion, among others. Together these terms produce a number of important features of natural walking, including active toe-off, near-passive knee swing, and leg extension during swing. We explain the specific form of our objective criteria, and show the importance of each term to walking style. We demonstrate optimized controllers for walking with different speeds, variation in body shape, and in ground slope.
Keywords:
Physics-based animation
controller synthesis
human motion
optimization
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Journal

ACM Transactions on Graphics cover
ACM Transactions on Graphics
IF:
9.5
Papers:
4.7K
Citations:
3.6W

Organization

U
university of toronto
Scholars:
14.7W
Papers: 12.0W
Citations: 165