Robotics & Machine Learning Daily News2024,Issue(Feb.5) :86-86.DOI:/10.1109/JSEN.2023.3315302

Researchers from Dongguan University of Technology Report Recent Findings in Robotics (Digital Twin-driven 3-d Position Information Mutuality and Positioning Error Compensation for Robotic Arm)

Robotics & Machine Learning Daily News2024,Issue(Feb.5) :86-86.DOI:/10.1109/JSEN.2023.3315302

Researchers from Dongguan University of Technology Report Recent Findings in Robotics (Digital Twin-driven 3-d Position Information Mutuality and Positioning Error Compensation for Robotic Arm)

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Abstract

Investigators publish new report on Robotics. According to news reporting from Dongguan, People's Republic of China, by NewsRx journalists, research stated, “Robotic arms for industrial applications rely on expensive, complex solutions for high-precision positioning error compensation. Digital twins (DTs) provide virtual representations of physical assets to optimize their engineering performance, which helps address the above issues.” Funders for this research include National Natural Science Foundation of China (NSFC), National Key Research and Development Program of China, Guangdong Province Basic and Applied Basic Research Fund Project, Science and Technology Specialist Project of Dongguan City. The news correspondents obtained a quote from the research from the Dongguan University of Technology, “To address this problem, this article proposes a DT-driven 3-D position information mutuality and positioning error compensation for robotic arm. A DT model is developed and a virtual sensor is modeled geometrically. Information exchange between the physical and virtual sensor enables the comparison of the actual and target arm pose. Through closed-loop alignment of the physical sensor data with the virtual output, the arm joints are dynamically adjusted to reduce positioning errors. Information mutuality significantly reduces the amount of calculation necessary to determine the robotic arm's actual angle of motion.”

Key words

Dongguan/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Dongguan University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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