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- W2016013913 abstract "Abstract This article is concerned with an artificial neural system for a mobile robot reactive navigation in an unknown, cluttered environment. Reactive navigation is a process of immediately choosing locomotion actions in response to measured spatial situations, while no planning occurs. A task of a presented system is to provide a steering angle signal letting a robot reach a goal while avoiding collisions with obstacles. Basic reactive navigation methods are briefly characterized, special attention is paid to a neural approach to the considered problem. The authors describe the system's architecture and important details of the algorithm. The main parts of the system are: the Fuzzy ART neural self-organizing classifier, performing a perceptual space partitioning, and a neural associative memory, memorizing the system's experience and superposing influences of different behaviors. Tests show that the learning process, starting from zero , is efficient, despite some initial fluctuations of its effectiveness." @default.
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- W2016013913 date "1994-04-01" @default.
- W2016013913 modified "2023-09-23" @default.
- W2016013913 title "Learning locomotion reflexes: A self-supervised neural system for a mobile robot" @default.
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- W2016013913 doi "https://doi.org/10.1016/0921-8890(94)90020-5" @default.
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