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Bin-picking solution for randomly placed automotive connectors based on machine...

Torres, Pedro; Arents, Janis; Marques, Hugo; Marques, Paulo

This paper presents the development of a bin-picking solution based on low-cost vision systems for the manipulation of automotive electrical connectors using machine learning techniques. The automotive sector has always been in a state of constant growth and change, which also implies constant challenges in the wire harnesses sector, and the emerging growth of electric cars is proof of this and represents a cha...

Date: 2022   |   Origin: Repositório Científico do Instituto Politécnico de Castelo Branco
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