Robotics & Machine Learning Daily News2024,Issue(Jun.20) :66-67.

New Findings Reported from University of Leuven (KU Leuven) Describe Advances in Robotics (Towards Robotic Disassembly: a Comparison of Coarse-to-fine and Multi modal Fusion Screw Detection Methods)

鲁汶大学(KU Leuven)报告的新发现描述了机器人学的进展(走向机器人拆卸:粗到细和多模态融合螺钉检测方法的比较)

Robotics & Machine Learning Daily News2024,Issue(Jun.20) :66-67.

New Findings Reported from University of Leuven (KU Leuven) Describe Advances in Robotics (Towards Robotic Disassembly: a Comparison of Coarse-to-fine and Multi modal Fusion Screw Detection Methods)

鲁汶大学(KU Leuven)报告的新发现描述了机器人学的进展(走向机器人拆卸:粗到细和多模态融合螺钉检测方法的比较)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-关于机器人的研究发现被用在一份新的报告中。根据News Rx记者在比利时鲁汶的新闻报道,研究表明:“为了加快向更经济的转型,人们认为必须提高经济活力,并采用去制造和再制造工艺。为此,工业4.0技术,包括机器人化、计算机视觉和人工智能,通常被认为是降低成本的主要推动因素,同时提高制造和再制造过程的性能。本研究的财政支持来自欧洲创新技术研究所(EIT)原材料。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news reporting from Leuven, Belgium, by News Rx journalists, research stated, "To accelerate the transition towards a more ci rcular economy it is believed essential to increase the economic viability and h ence the adoption of de- and remanufacturing processes. For this, industry 4.0 t echnologies, including robotization, computer vision and artificial intelligence , are commonly considered as the main enablers to reduce costs while boosting pe rformances of de- and remanufacturing processes." Financial support for this research came from European Institute of Innovation a nd Technology (EIT) Raw Materials.

Key words

Leuven/Belgium/Europe/Emerging Techno logies/Machine Learning/Robotics/Robots/University of Leuven (KU Leuven)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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