A. Saffiotti, et al., "Robust Execution of Robot Plans using Fuzzy Logic", in Fuzzy Logic in Artificial Intelligence: IJCAI'93 Workshop. Lectures Notes in Artificial Intelligence 847 (Ralescu A. Ed.). SpringerVelag, pp 24-37, 1994 Home/Search Document Details and Download
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A Fuzzy Agents Architecture for Autonomous Mobile Robots - Skarmeta, Barberá, Alonso (1999) (1 citation) (Correct)
....given by the user and to carry on such tasks. At least, there should be some kind of orders, maybe in rules form, with an inference motor or another kind of reasoning mechanism to actuate over them. In this point too, it is feasible to apply fuzzy logic to manage imprecision and uncertainty [14]. Upper intelligence degrees include an user model or another form of knowledge and reasoning about what the user wants to do, and planning the way to reach that goal. In the following sections it will be described the hardware architecture used for experimentation, the agent architecture ....
A. Saffiotti, et al., "Robust Execution of Robot Plans using Fuzzy Logic", in Fuzzy Logic in Artificial Intelligence: IJCAI'93 Workshop. Lectures Notes in Artificial Intelligence 847 (Ralescu A. Ed.). Springer-Velag, pp. 24-37, 1994
Combining Schema Theory with Fuzzy-Logic to Control a Mobile.. - Bertolissi, Holton (Correct)
....in the x direction followed immediately by one in the y direction (or vice versa) to a single diagonal movement. Figure 2 shows a typical path before and after clustering. S G S G Figure 2 A path found by the A algorithm before and after clustering RESULTS The flakey mobile robot simulator [9] was used as the basis for the implementation. The robot is equipped with (noisy) sonar sensors, and moves in a world that can be defined by the user. The first results came from investigating the schemas in isolation to determine effective values for the parameters required by the fuzzy ....
A. Saffiotti, E. H. Ruspini, and K. Konolige. Robust execution of robot plans using fuzzy logic. Technical report, AI Center SRI International, 1993.
Fuzzy Behaviours for Mobile Robots Control - Martnez Barber Zamora (2001) (Correct)
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A. Saffiotti, et al., "Robust Execution of Robot Plans using Fuzzy Logic", in Fuzzy Logic in Artificial Intelligence: IJCAI'93 Workshop. Lectures Notes in Artificial Intelligence 847 (Ralescu A. Ed.). SpringerVelag, pp 24-37, 1994
Multi-agent Optimal Path Planning for Mobile Robots in.. - Kolushev, Bogdanov (Correct)
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Sa#otti A., Ruspini, E. H., Konolige, K., Robust Execution of Robot Plans Using Fuzzy Logic. Fuzzy Logic in Artificial Intelligence IJCAI 93, pp. 24-37
Fuzzy Logic Based Intelligent Agents for Reactive Navigation .. - Skarmeta, Barbera (1997) (1 citation) (Correct)
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Saffiotti, A. et al., "Robust Execution of Robot Plans using Fuzzy Logic", in Fuzzy Logic in Artificial Intelligence: IJCAI'93 Workshop. Lectures Notes in Artificial Intelligence 847 (Ralescu A. Ed.). Springer-Velag, pp. 24-37, 1994
A Framework for Defining and Learning Fuzzy Behaviours for.. - Barbera, Skarmeta (2002) (Correct)
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A. Saffiotti, et al., Robust Execution of Robot Plans using Fuzzy Logic, in Fuzzy Logic in Artificial Intelligence: IJCAI'93 Workshop. Lectures Notes in Artificial Intelligence 847 (Ralescu A. Ed.). Springer-Velag, pp 24-37, 1994
Vector Pursuit Path Tracking For Autonomous Ground Vehicles - Wit (2000) (1 citation) (Correct)
No context found.
Saffiotti, A., Ruspini, E. H. and Konolige, K., "Robust Execution of Robot Plans Using Fuzzy Logic," Fuzzy Logic in Artificial Intelligence - IJCAI 93 Workshop LNAI 847, Springer-Verlag, Berlin, DE, 1994, pp.24-37.
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