Robotics & Machine Learning Daily News2024,Issue(Feb.7) :67-67.DOI:10.1016/j.jfoodeng.2023.111754

New Findings from University of Southern Queensland in the Area of Robotics Described (Tactile Sensing for Tissue Discrimination In Robotic Meat Cutting: a Feasibility Study)

Robotics & Machine Learning Daily News2024,Issue(Feb.7) :67-67.DOI:10.1016/j.jfoodeng.2023.111754

New Findings from University of Southern Queensland in the Area of Robotics Described (Tactile Sensing for Tissue Discrimination In Robotic Meat Cutting: a Feasibility Study)

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Abstract

Data detailed on Robotics have been presented. According to news originating from Toowoomba, Australia, by NewsRx correspondents, research stated, “This investigation explores an approach for tactile sensing to guide a knife attached to a robot to cut red meat. During cutting, the discrimination of tissue types and the approach to tissue interfaces is an important factor in this variable, deforming medium.” Financial support for this research came from University of South-ern Queensland. Our news journalists obtained a quote from the research from the University of Southern Queensland, “Using a force sensor attached to a standard knife controlled by a 6-axis robotic manipulator, cuts were performed to a depth of approximately 20 mm across striploin chops. Force patterns showed significant similarity in cross-correlation analysis, with an 80-97% correlation coefficient. The force sensor reading exhibited identifiable patterns that could be tracked to pinpoint critical stages of the cutting process, validating the potential of tactile sensing in meat processing.”

Key words

Toowoomba/Australia/Australia and New Zealand/Emerging Technologies/Machine Learning/Robotics/Robots/University of Southern Queensland

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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