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- W3135668743 abstract "One of the main interest in modern manufacturing science is to broaden the environment sensing and the decision-making abilities of robotic systems, in order to perform complex tasks in human-robot collaboration. The paper discusses an abstract pick-and-place operation with wooden blocks in a semistructured environment. Combination of neural network and machine vision is used to detect the position of the blocks. The aim of the operation is defined by a 3D model, and the order of assembly is generated automatically.KivonatA gyartastudomannyal kapcsolatos kutatasok egyik fő iranya a robotok kornyezeterzekelesi es donteshozatali kepessegenek bővitese, hogy hatekonyan egyuttműkodhessenek mas robotokkal vagy emberekkel. Jelen dolgozat egy felig strukturalt kornyezetben zajlo pakolasi, szerelesi feladat megoldasat mutatja be, fa epitőkockakbol tortenő absztrakt osszeszerelesen keresztul. A kockak felismerese neuralis halot es hagyomanyos kepfeldolgozasi technikakat kombinalo megoldassal tortenik. A felismert darabokat egy olyan epitesi sorrendtervnek megfelelően helyezi a robot a masik palettara, amely terv 3D modell alapjan automatikusan lett generalva." @default.
- W3135668743 created "2021-03-15" @default.
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- W3135668743 date "2020-04-16" @default.
- W3135668743 modified "2023-09-28" @default.
- W3135668743 title "Robotos pakolási feladat megoldása környezetérzékelés segítségével: Robotic pick-and-place operation enhanced with environment sensing" @default.
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- W3135668743 hasPublicationYear "2020" @default.
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