Robotics & Machine Learning Daily News2024,Issue(Feb.16) :6-7.DOI:10.1007/s00170-023-12925-6

New Findings from University of Ghent Describe Advances in Robotics (Optimization-based Estimation of the Execution Time of a Robotic Assembly Task Sequence)

Robotics & Machine Learning Daily News2024,Issue(Feb.16) :6-7.DOI:10.1007/s00170-023-12925-6

New Findings from University of Ghent Describe Advances in Robotics (Optimization-based Estimation of the Execution Time of a Robotic Assembly Task Sequence)

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Abstract

Fresh data on Robotics are presented in a new report. According to news reporting from Ghent, Belgium, by NewsRx journalists, research stated, "Estimating the execution time of assembly task sequences of a new geometric model is an essential prerequisite for task allocation and resource planning decisions in smart multi-robotic assembly cells. This paper discusses an optimization-based method to estimate the execution time of a full sequence of assembly tasks, including picking, aligning, and insertion." Financial support for this research came from Higher Education Commision, Pakistan.

Key words

Ghent/Belgium/Europe/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/University of Ghent

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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