Generation of efficient adjustment strategies for a fuzzy-neuro force controller using genetic algorithms -- application to robot force control in an unknown environment

DOI10.1016/S0020-0255(02)00226-8zbMath1021.68682OpenAlexW1988107827MaRDI QIDQ1394898

Toshio Fukuda, Kazuo Kiguchi, Keigo Watanabe

Publication date: 25 June 2003

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-0255(02)00226-8

zbMATH Keywords

Soft computingRobot manipulatorForce controlUnknown environment

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99) Artificial intelligence for robotics (68T40)

Cites Work

• Unnamed Item
• Generation of an optimal architecture of neuro force controllers for robot manipulators in unknown environments using genetic programming with fuzzy fitness evalutation

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