Robotics & Machine Learning Daily News2024,Issue(Mar.19) :113-114.DOI:10.1109/TCDS.2022.3182811

New Findings from Italian Institute of Technology in Robotics Provides New Insig hts (Pick the Right Co-worker: Online Assessment of Cognitive Ergonomics In Huma n-robot Collaborative Assembly)

Robotics & Machine Learning Daily News2024,Issue(Mar.19) :113-114.DOI:10.1109/TCDS.2022.3182811

New Findings from Italian Institute of Technology in Robotics Provides New Insig hts (Pick the Right Co-worker: Online Assessment of Cognitive Ergonomics In Huma n-robot Collaborative Assembly)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting out of Genoa, Italy, by NewsRx editors, re search stated, “Human-robot collaborative assembly systems enhance the efficienc y and productivity of the workplace but may increase the workers’ cognitive dema nd. This article proposes an online and quantitative framework to assess the cog nitive workload induced by the interaction with a co-worker, either a human oper ator or an industrial collaborative robot with different control strategies.”

Key words

Genoa/Italy/Europe/Emerging Technolog ies/Machine Learning/Robot/Robotics/Italian Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量32
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