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Concepts and fuzzy models for behavior-based robotics. (English) Zbl 1128.68503

Di Gesù, Vito (ed.) et al., Fuzzy logic and applications. 5th international workshop, WILF 2003, Naples, Italy, October 9–11, 2003. Revised selected papers. Berlin: Springer (ISBN 3-540-31019-3/pbk). Lecture Notes in Computer Science 2955. Lecture Notes in Artificial Intelligence, 72-79 (2006).
Summary: In this paper, we propose a modeling paradigm that uses fuzzy sets to represent concepts on which control modules of a behavior-based autonomous robot operate. The primitives defined in the modeling paradigm are expressive enough to represent the knowledge needed by planning, coordination, and reactive control of a multi-robot control system. At the same time, it provides a well-founded tool to represent in a compact way the data interpretations, needed to reason effectively about what is happening in the world and what is desired to happen. This modeling paradigm makes the design of behavior, planning, and coordination modules easy, since its primitives are simple and expressive.
For the entire collection see [Zbl 1088.68005].

MSC:

68T40 Artificial intelligence for robotics
93C42 Fuzzy control/observation systems
93C85 Automated systems (robots, etc.) in control theory
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References:

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