Control of biped robot joints' angles using coordinated Matsuoka oscillators

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Abstract

Neural Oscillators are network of neurons that produce smooth oscillatory/rhythmic pattern. In this paper, a simple network of Matsuoka oscillators is used to generate the bipedal locomotion by coordinating the joint angle using a new method of coordination proposed by Huang. This method makes the control of the joint angle easier as they are related with each other in a sequential manner. Also, this method prevents error accumulation with time. The results show that the robot produced a smooth walking motion. © 2012 Springer-Verlag.

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Al-Busaidi, A. M., Zaier, R., & Al-Yahmadi, A. S. (2012). Control of biped robot joints’ angles using coordinated Matsuoka oscillators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7552 LNCS, pp. 304–312). https://doi.org/10.1007/978-3-642-33269-2_39

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