A bio-inspired integration model of basal ganglia and cerebellum for motion learning of a musculoskeletal robot

DOI10.1007/S11424-024-3414-7MaRDI QIDQ6130955

Hong Qiao, Jiahao Chen, Jinhan Zhang, Shanlin Zhong

Publication date: 3 April 2024

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

zbMATH Keywords

reinforcement learningbasal ganglia and cerebellumbio-inspired integration modelmotion learningmuscu-loskeletal robot

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Automated systems (robots, etc.) in control theory (93C85)

Cites Work

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• Attitude and orbit optimal control of combined spacecraft via a fully-actuated system approach
• Longitudinal control for balloon-borne launched solar powered UAVs in near-space
• Single parameter adaptive neural network control for multi-agent deployment with prescribed tracking performance

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