Self‐Organized Stick Insect‐Like Locomotion under Decentralized Adaptive Neural Control: From Biological Investigation to Robot Simulation (Adv. Theory Simul. 8/2023)
Advanced Theory and Simulations(2023)
摘要
Combining biology and robotics leads to an innovative solution for robot locomotion control. In article 2300228, Poramate Manoonpong and co-workers propose a bio-inspired integrative approach to develop adaptive neural control for self-organized locomotion in a robot with heterogeneous leg lengths. The stick insect Medauroidea extradentata is used as a template for the development. The study not only proposes a solution for neural locomotion control but also enables insights into the neural equipment of the biological template. It also provides a guidance for further developing advanced bio-inspired theory and simulations.
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关键词
decentralized adaptive neural control,locomotion,robot simulation
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