Model-Predictive Control for Omnidirectional Mobile Robots in Logistic Environments Based on Object Detection Using CNNs

Object detection is an essential component of autonomous mobile robotic systems, enabling robots to understand and interact with the environment. Object detection and recognition have made significant progress using convolutional neural networks (CNNs). Widely used in autonomous mobile robot applica...

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Detalles Bibliográficos
Autores principales: Achirei, Stefan-Daniel, Mocanu, Razvan, Popovici, Alexandru-Tudor, Dosoftei, Constantin-Catalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255710/
https://www.ncbi.nlm.nih.gov/pubmed/37299719
http://dx.doi.org/10.3390/s23114992

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255710/
https://www.ncbi.nlm.nih.gov/pubmed/37299719
http://dx.doi.org/10.3390/s23114992

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