J. Zhang and A. Knoll. Integrating deliberative and reactive strategies via fuzzy modular control. In Fuzzy Logic Techniques for Autonomous Robot Navigation. Springer, 2000.  Home/Search Document Details and Download
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Towards Transparent Control of Large and Complex Systems - Zhang, Knoll (1999) Self-citation (Zhang Knoll) (Correct)
....fuzzy system with four inputs, each with 5 linguistic terms resulting in 75 rules. Situation Evaluation S w1 . perception y1 y2 . w2 y x1 x2 x3 x4 (b) Behaviour blending using a two step hierarchy. Situation Evaluation uses rules to determine the weight of each monolithic controller [ZK99]. Figure 2: Hierarchical fuzzy systems. Input Selection This concept uses an experimental method to nd the most important input variables among a large number of them [JSM97] All the combinatorial possibilities of the lowdimensional fuzzy model are considered and approximately tested. The ....
J. Zhang and A. Knoll. Integrating deliberative and reactive strategies via fuzzy modular control. In \Fuzzy logic techniques for autonomous vehicle navigation", edited by A. SaĈotti and D. Driankov, Springer, 1999.
An Overview on Soft Computing in Behavior Based Robotics - Hoffmann (2003) (Correct)
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J. Zhang and A. Knoll. Integrating deliberative and reactive strategies via fuzzy modular control. In Fuzzy Logic Techniques for Autonomous Robot Navigation. Springer, 2000.
Fuzzy Logic in Autonomous Navigation - Saffiotti (2001) (8 citations) (Correct)
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J. Zhang and A. Knoll. Integrating deliberative and reactive strategies via fuzzy modular control. In D. Driankov and A. Saffiotti, eds, Fuzzy Logic Techniques for Autonomous Vehicle Navigation, Physica-Verlag, Heidelberg, New York, 2000, pages 367--387.
The Domestic Robot - A Friendly Cognitive System Takes Care Of.. - Robot (2003) (Correct)
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Zhang, J. and Knoll, A. (1999). Integrating deliberative and reactive strategies via fuzzy modular control. A. Saffiotti and D. Driankov, eds, Springer.
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