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Robotics and Autonomous Systems
Volume 38, Issue 2, 28 February 2002, Pages 119-128
 
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doi:10.1016/S0921-8890(01)00177-4    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2002 Elsevier Science B.V. All rights reserved.

Optimal trajectory generation for a prismatic joint biped robot using genetic algorithms

G. CapiCorresponding Author Contact Information, E-mail The Corresponding Author, a, S. Kanekoa, K. Mitobea, L. Barollib and Y. Nasua

a Faculty of Engineering, Yamagata University, Jonan, 4-3-16, Yonezawa 992-8510, Japan b Faculty of Literature and Social Sciences, Yamagata University, Japan

Received 3 September 2001; 
revised 21 October 2001. 
Communicated by F.C.A. Groen 
Available online 17 January 2002.

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Abstract

In this paper, a prismatic joint biped robot trajectory planning method is proposed. The minimum consumed energy is used as a criterion for trajectory generation, by using a real number genetic algorithm as an optimization tool. The minimum torque change cost function and constant vertical position trajectories are used in order to compare the results and verify the effectiveness of this method. The minimum consumed energy walking is stable and the impact of the foot with the ground is very small. Experimental investigations of a prismatic joint biped robot confirmed the predictions concerning the consumed energy and stability.

Author Keywords: Biped robots; Genetic algorithm; Minimum energy; ZMP

Article Outline

1. Introduction
2. Biped model
3. GA
4. Minimum energy trajectory problem
5. GA variables and proposed method
6. Simulation and experimental results
7. Conclusions
References
Vitae
















Robotics and Autonomous Systems
Volume 38, Issue 2, 28 February 2002, Pages 119-128
 
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