Abstract
Considerable attention has been paid to the development of stable walking robots. Indeed, biped locomotion becomes a broadcast area where various research topics such as artificial intelligence, control theory and neuroscience cope to enhance the abilities of the robots. In this paper, Central Pattern Generator (CPG) which are neural circuits that generates oscillations for rhythmic patterns are used to control the humanoid. The choice of using a CPG as a motion generator is motivated by the naturality of the generated pattern. Moreover, CPG offers the possibility to control the gait speed ensuring an easy modulation of the walking speed. Here, the Zero Moment point is used to measure the stability of the humanoid while walking. Thus, in this paper, a humanoid robot’s walking model is presented with a strong emphasis on stability and representativity of actual human walking. Furthermore, the methodological considerations in the implementation of a CPG controller for a humanoid robot application are also presented.
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Sayari, M.A., Masmoudi, N., Zaier, R. (2020). Bio-Inspired CPG Based Locomotion for Humanoid Robot Application. In: Aifaoui, N., et al. Design and Modeling of Mechanical Systems - IV. CMSM 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-27146-6_98
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DOI: https://doi.org/10.1007/978-3-030-27146-6_98
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