Support vector machine based approach for abstracting human control strategy in controlling dynamically stable robots

DOI10.1007/s10846-008-9292-8zbMath1202.68437OpenAlexW2078004641MaRDI QIDQ614640

Yongsheng Ou, Yangsheng Xu, Huihuan Qian

Publication date: 4 January 2011

Published in: Journal of Intelligent \& Robotic Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10846-008-9292-8

zbMATH Keywords

Neural networksSupport vector machineDynamically stable systemsHuman skill learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Automated systems (robots, etc.) in control theory (93C85) Artificial intelligence for robotics (68T40)

Cites Work

• An efficient neural network approach to real-time control of a mobile robot with unknown dynamics
• On learning discontinuous human control strategies
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Support vector machine based approach for abstracting human control strategy in controlling dynamically stable robots