Robotics & Machine Learning Daily News2024,Issue(MAY.7) :46-47.

Investigators from University of Manchester Release New Data on Robotics (Multim odal Immersive Digital Twin Platform for Cyberphysical Robot Fleets In Nuclear Environments)

Robotics & Machine Learning Daily News2024,Issue(MAY.7) :46-47.

Investigators from University of Manchester Release New Data on Robotics (Multim odal Immersive Digital Twin Platform for Cyberphysical Robot Fleets In Nuclear Environments)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting out of Manchester, United Kingdom, by NewsR x editors, research stated, “The nuclear energy sector can benefit from mobile r obots for remote inspection and handling, reducing human exposure to radiation. Advances in cyber-physical systems have improved robotic platforms in this secto r through digital twin (DT) technology.” Funders for this research include UK Research & Innovation (UKRI), Engineering & Physical Sciences Research Council (EPSRC).

Key words

Manchester/United Kingdom/Europe/Emer ging Technologies/Finance and Investment/Investment and Finance/Machine Learn ing/Robot/Robotics/University of Manchester

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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