Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/73486
Title: Frontal plane algorithms for dynamic bipedal walking
Authors: Chew, C.-M. 
Pratt, G.A.
Issue Date: 2003
Source: Chew, C.-M.,Pratt, G.A. (2003). Frontal plane algorithms for dynamic bipedal walking. Proceedings - IEEE International Conference on Robotics and Automation 1 : 45-50. ScholarBank@NUS Repository.
Abstract: This paper presents two frontal plane algorithms for 3D dynamic bipedal walking. One of which is based on the notion of symmetry and the other uses reinforcement learning algorithm to learn the lateral foot placement. The algorithms are combined with a sagittal plane algorithm and successfully applied to a simulated 3D bipedal robot to achieve level ground walking. The simulation results showed that the choice of the local control law for the stance-ankle roll joint could significantly affect the performance of the frontal plane algorithms.
Source Title: Proceedings - IEEE International Conference on Robotics and Automation
URI: http://scholarbank.nus.edu.sg/handle/10635/73486
ISSN: 10504729
Appears in Collections:Staff Publications

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