Computational Intelligence for Mobile Robotic Systems - Decision Making, Learning, and Planning - | Zendy

Toshio Fukuda | Zendy; Naoyuki Kubota | Zendy

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Computational Intelligence for Mobile Robotic Systems - Decision Making, Learning, and Planning -

Author(s) -

Toshio Fukuda,

Naoyuki Kubota

Publication year - 2000

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2000.p0194

Subject(s) - computer science , computational intelligence , artificial intelligence , mobile robot , coevolution , intelligent decision support system , evolutionary computation , human–computer interaction , distributed computing , robot , paleontology , biology

This paper describes recent topics of computational intelligence. The intelligent capabilities will be required for the various systems to adapt to dynamically changing environments. First, we introduce the computational intelligence including evolutionary computing, neural computing, and fuzzy computing. Next, some of the important problems including the system architecture, structured intelligence, emerging system, and implementation methods are discussed for mobile robotic systems from the viewpoint of coevolution.

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