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Chaotic Path-Planning Algorithm Based on Courbage–Nekorkin Artificial Neuron Model

Developing efficient path-planning algorithms is an essential topic in modern robotics and control theory. Autonomous rovers and wheeled and tracked robots require path generators that can efficiently cover the explorable space with minimal redundancy. In this paper, we present a new path-planning a...

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Bibliografische Detailangaben
Hauptverfasser: Dmitriy Kvitko, Vyacheslav Rybin, Oleg Bayazitov, Artur Karimov, Timur Karimov, Denis Butusov
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-03-01
Schriftenreihe:Mathematics
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Online-Zugang:https://www.mdpi.com/2227-7390/12/6/892
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