Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/73997
Title: Using virtual model control and genetic algorithm to obtain stable bipedal walking gait through optimizing the ankle torque
Authors: Dau, V.-H.
Chew, C.-M. 
Poo, A.-N. 
Keywords: Bipedal walking
Genetic algorithms
Virtual model control
Issue Date: 2007
Source: Dau, V.-H.,Chew, C.-M.,Poo, A.-N. (2007). Using virtual model control and genetic algorithm to obtain stable bipedal walking gait through optimizing the ankle torque. Advances in Climbing and Walking Robots - Proceedings of 10th International Conference, CLAWAR 2007 : 466-474. ScholarBank@NUS Repository.
Abstract: This paper presents a new approach of controlling the biped robot to achieve stable dynamic walking by optimizing the stance-leg ankle behavior. In this study, the motion control in the sagittal plane of the robot is formulated using a control framework known as Virtual Model Control. Genetic Algorithm is used to search for optimal gains of the controllers such that stable walking gait with smooth velocity profile can be achieved. The stability of the biped is checked using the zero-moment-point criterion. Simulation results show that the obtained walking gait is stable and its forward velocity profile is very smooth. © 2007 World Scientific Publishing Co. Pte. Ltd.
Source Title: Advances in Climbing and Walking Robots - Proceedings of 10th International Conference, CLAWAR 2007
URI: http://scholarbank.nus.edu.sg/handle/10635/73997
ISBN: 9812708154
Appears in Collections:Staff Publications

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