Ananchai Konthong, Anavat Monprajuck, Rashrita Rattanavorragant, Y. Jewajinda
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An Intelligent Locomotion Control Architecture for Hexapod Robot
This paper presents an intelligent locomotion control architecture for a hexapod robot. The proposed architecture provides a hexapod robot abilities to perceive different terrains and adjust gait accordingly by utilizing CPG- network, torque sensing, and radial basis function neural network. The architecture is suitable for implementing in an embedded system for on-board small hexapod robots. The effectiveness of the proposed intelligent control architecture is demonstrated through real robot experiments.