首页|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)
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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NETL
NSTL
Elsevier
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.”
ToowoombaAustraliaAustralia and New ZealandEmerging TechnologiesMachine LearningRoboticsRobotsUniversity of Southern Queensland
NETL
NSTL
Elsevier
