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Feasibility Check of an Assist System Through the Simulation of Bipedal Walking Using a CPG

Tomohito Takubo, Yohei Fukano, Kenichi Ohara, Yasushi Mae, and Tatsuo Arai

Abstract:
A wearable mobile-base Walking Assist System (WAS) is simulated in this paper with the bipedal simulator we developed. The simulator employs a Central Pattern Generator (CPG) for bipedal walking pattern generation. The CPG-based walking pattern is one of the candidates for simulating human walking. Average Japanese body dimension data is applied to the bipedal model so that walking efficiency can be evaluated using the simulator. The effectiveness of the proposed simulator is confirmed by comparing real human walking and simulated walking in terms of the shape of the swing leg trajectory, data from the pressure sensor, and the feasibility of the prototype WAS. A prototype is developed and experimental results show the effectiveness of the bipedal simulator.

Keywords: bipedal walking simulation, wearable mobile base, assist system, sole shape, CPG

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