Výsledky vyhledávání - "Mehnen Jörn"

Akademický článek

Benchtop-AFP: An Exploration of Democratised Automated Fibre Placement

Autor: McArthur Stig, Mehnen Jörn, Bomphray Iain

Publikováno v: MATEC Web of Conferences, Vol 401, p 08002 (2024)

This paper outlines the creation and evaluation of Benchtop-AFP, an innovative approach to producing composite materials akin to Automated Fibre Placement (AFP) but without the high capital expenses typical of traditional AFP methods. This unique tec

Externí odkaz: https://doaj.org/article/33286bdebd0c449db61553024f1266a6

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Akademický článek

Validation of a digital twin: Part distortion in heat treatment

Autor: Jayasinghe Sarini, Hilton Kareema, Mehnen Jörn

Publikováno v: MATEC Web of Conferences, Vol 401, p 13002 (2024)

This paper presents a study on multi-process manufacturing optimisation, employing a sophisticated data analytic model based on Gaussian Processes. Through strategically designed aluminium trials and rigorous model evaluation using leave-one-out cros

Externí odkaz: https://doaj.org/article/c7086518be8d466fbc926c6b3cd5d6b7

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Akademický článek

A novel non-intrusive mental workload evaluation concept in human-robot collaboration

Autor: Zhao Baixiang, Yan Xiu-tian, Mehnen Jörn

Publikováno v: MATEC Web of Conferences, Vol 401, p 12002 (2024)

The integration of Human-Robot Collaboration (HRC) in industrial robotics introduces challenges, particularly in adapting manufacturing environments to work seamlessly with collaborative robots. A key objective in HRC system optimization is enhancing

Externí odkaz: https://doaj.org/article/b88a36a3abbc4629b315041bbc68422a

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The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems

Autor: He, Hongmei, Gray, John, Cangelosi, Angelo, Meng, Qinggang, McGinnity, T. Martin, Mehnen, Jörn

The trustworthiness of Robots and Autonomous Systems (RAS) has gained a prominent position on many research agendas towards fully autonomous systems. This research systematically explores, for the first time, the key facets of human-centered AI (HAI)

Externí odkaz: http://arxiv.org/abs/2105.04408