Proposal of methodology of a bipedal humanoid gait generation based on cognitive algorithm
João Maurício Rosário, Renato Suekichi Kuteken, Luis Miguel Izquierdo Cordoba
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This article proposes a methodology of generating a bipedal humanoid gait pattern for the knee and hip leg joints in the sagittal plane. The multi-functional gait movement is divided into three different movement patterns with a specific function, which can be modulated individually and superposed...
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This article proposes a methodology of generating a bipedal humanoid gait pattern for the knee and hip leg joints in the sagittal plane. The multi-functional gait movement is divided into three different movement patterns with a specific function, which can be modulated individually and superposed to compose a gait pattern. This strategy is based on the potential field navigation algorithm concept (proposed by Khatib, 1986) and the architecture for its application is based the AuRA cognitive architecture (proposed by Arkin, 1990). Finally, this methodology was validated using a MATLAB-SimulinkTM implementation of a simplified kinematic model of the legs movements. The results show movement patterns close to the biomechanical ones at the joints. When applied to the kinematic model, those joint movements generate feet trajectories that are compatible to the gait both in shape and amplitude. The strategy was also embedded in a microcontroller prototype, revealing low computational demands as well as another view for the generated movement
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Proposal of methodology of a bipedal humanoid gait generation based on cognitive algorithm
João Maurício Rosário, Renato Suekichi Kuteken, Luis Miguel Izquierdo Cordoba
Proposal of methodology of a bipedal humanoid gait generation based on cognitive algorithm
João Maurício Rosário, Renato Suekichi Kuteken, Luis Miguel Izquierdo Cordoba
Fontes
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Lecture notes in computer science Vol. 11379 (Mar., 2019), p. 115-126 |