首页|Studies from Shanghai Jiao Tong University Reveal New Findings on Robotics (Kine matic and Joint Compliance Modeling Method to Improve Position Accuracy of a Rob otic Vision System)
Studies from Shanghai Jiao Tong University Reveal New Findings on Robotics (Kine matic and Joint Compliance Modeling Method to Improve Position Accuracy of a Rob otic Vision System)
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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 Shanghai, People’s Republic of China , by NewsRx editors, research stated, “In the field of robotic automation, achie ving high position accuracy in robotic vision systems (RVSs) is a pivotal challe nge that directly impacts the efficiency and effectiveness of industrial applica tions.” Funders for this research include National Natural Science Foundation of China. The news correspondents obtained a quote from the research from Shanghai Jiao To ng University: “This study introduces a comprehensive modeling approach that int egrates kinematic and joint compliance factors to significantly enhance the posi tion accuracy of a system. In the first place, we develop a unified kinematic mo del that effectively reduces the complexity and error accumulation associated wi th the calibration of robotic systems. At the heart of our approach is the formu lation of a joint compliance model that meticulously accounts for the intricacie s of the joint connector, the external load, and the self-weight of robotic link s. By employing a novel 3D rotary laser sensor for precise error measurement and model calibration, our method offers a streamlined and efficient solution for t he accurate integration of vision systems into robotic operations.”
Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobo ticsRobots
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