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- W2045087640 abstract "This paper presents a framework for evolutionary robot action developement to autonomously plan complex/diverse cooperative actions and skillfully perform them. Complex actions are realized based upon the Intelligent Composite Action Control, which is a learning methodology for intelligent robots that gradually realize complex actions from fundamental motions. The Multi-stage Genetic Algorithm (MGA) is used for efficient construction of action intelligence. And for autonomous planning of diverse cooperation according to the situation, Variable-chromosome-length Genetic Algorithm is introduced and combined to MGA. With demonstrative examples of cooperative robot soccer actions the process of efficient construction of the action intelligence is presented." @default.
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- W2045087640 title "Evolutionary robot action development based upon Intelligent Composite Action Control" @default.
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