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- W96321679 abstract "Intelligent autonomous robots and multiagent systems, having different skills and capabilities for specific subtasks, have the potential to solve problems more efficiently and effectively. In this paper both f i m y logic (FL) and subtractive clustering (SC) are used for the design of autonomous robot behaviours. The design procedure is conducted in two stages: first subtractive clustering is applied to extract fuzzy model from experimental data; then adaptive neuro-fuzzy inference system (ANFIS) is applied to improve the fuzzy model performance. This technique produces good result (0.01% root mean square error) and has the advantage of being closer to natural human language, by describing the robot behaviours using a set of linguistic rules." @default.
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- W96321679 date "2001-01-01" @default.
- W96321679 modified "2023-09-28" @default.
- W96321679 title "Autonomous robot behaviours for co-operative agents using fuzzy logic and subtractive clustering." @default.
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