Robotics & Machine Learning Daily News2024,Issue(Apr.2) :47-48.

Findings from University of South Australia Reveals New Findings on Robotics (A New Redundancy Strategy for Enabling Graceful Degradation In Resilient Robotic F lexible Assembly Cells)

Robotics & Machine Learning Daily News2024,Issue(Apr.2) :47-48.

Findings from University of South Australia Reveals New Findings on Robotics (A New Redundancy Strategy for Enabling Graceful Degradation In Resilient Robotic F lexible Assembly Cells)

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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 Mawson Lakes, Australia, by NewsRx editors, research stated, "The development of resilience in manufacturing system s has drawn more attention than ever. Using redundant components is one of the k ey strategies for building and enhancing the resilience of a manufacturing syste m." Funders for this research include University of South Australia, Australian Gove rnment Research Training Program (RTP). Our news journalists obtained a quote from the research from the University of S outh Australia, "However, current redundancy strategies require duplicated machi nery employed either in active or in standby status. This in turn causes extra c osts in designing and achieving resilience. Achieving an efficient deployment of the redundant component in the face of failures is also challenging. In this pa per, we introduce a novel redundancy strategy, called adaptive standby redundanc y (ASR), to achieve resilient performance for discrete manufacturing systems whi le reducing the cost of employing the duplicated components that are typically u sed in traditional systems. This novel strategy permits achievement of high leve ls of utilisation of the system and graceful degradation in case of failure, kee ping the system functional."

Key words

Mawson Lakes/Australia/Australia and N ew Zealand/Emerging Technologies/Machine Learning/Robotics/Robots/Universit y of South Australia

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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