首页|Study Results from Universidad Politecnica de Cartagena in the Area of Robotics Published (Deep Learning-Empowered Robot Vision for Efficient Robotic Grasp Dete ction and Defect Elimination in Industry 4.0)
Study Results from Universidad Politecnica de Cartagena in the Area of Robotics Published (Deep Learning-Empowered Robot Vision for Efficient Robotic Grasp Dete ction and Defect Elimination in Industry 4.0)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting from Cartagena, Spain, by NewsRx journalists , research stated, “Robot vision, enabled by deep learning breakthroughs, is gai ning momentum in the industry 4.0 digitization process.” Our news editors obtained a quote from the research from Universidad Politecnica de Cartagena: “The present investigation describes a robotic grasp detection ap plication that makes use of a two-finger gripper and an RGB-D camera linked to a collaborative robot. The visual recognition system, which is integrated with ed ge computing units, conducts image recognition for faulty items and calculates t he position of the robot arm. Identifying deformities in object photos, training and testing the images with a modified version of the You Only Look Once (YOLO) method, and establishing defect borders are all part of the process. Signals ar e subsequently sent to the robotic manipulator to remove the faulty components.”
Universidad Politecnica de CartagenaCa rtagenaSpainEuropeEmerging TechnologiesMachine LearningRobotRoboticsRobots
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