Agent-based Control Architecture for Mobile Robot Navigation

Yahyaoui, Khadidja

doi:10.1109/icecocs50124.2020.9314388

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Moreover, the FL was found hybrid with other method in order to optimum AGV navigation purpose. Khadidja [114] simulated a hybridization of Multi Agent System (MAS) with FL. She was proved that the FL was able to cater the autonomous navigation problem.…”

Section: A Fuzzy Logicmentioning

confidence: 99%

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

2023

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Automated Guided Vehicle (AGV) have received a lot of attention in recent years in terms of both hardware and software research. Nowadays, the AGV offer more adaptable and effective industrial and transportation system solutions. An AGV navigation techniques is essential to its operation. The decision to use AGV navigation is not simple, though to be suite to the application and sufficient. This paper survey the navigation approaches applied in AGV in the past five years of published academic research. In doing so, this work responds to three related questions: (1) is the AGV classical navigation techniques still relevant to the current application area; (2) is the heuristic navigation techniques itself able to optimize AGV movement in term of guide and strategy; (3) is the use of Artificial Intelligence (AI) in AGV navigation techniques able to increase system performance. As a result, numerous techniques for the AGV navigation have been developed globally. On the other hand, the most popular navigation approaches are provided below for more research.

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Section: A Fuzzy Logicmentioning

confidence: 99%