Robotics & Machine Learning Daily News2024,Issue(Feb.5) :38-39.DOI:10.1109/TIE.2023.3260342

Investigators from Chongqing University Target Robotics (Task-based Compliance Control for Bottle Screw Manipulation With a Dual-arm Robot)

Robotics & Machine Learning Daily News2024,Issue(Feb.5) :38-39.DOI:10.1109/TIE.2023.3260342

Investigators from Chongqing University Target Robotics (Task-based Compliance Control for Bottle Screw Manipulation With a Dual-arm Robot)

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Abstract

Investigators publish new report on Robotics. According to news reporting from Chongqing, People's Republic of China, by NewsRx journalists, research stated, “In this article, a novel task-based compliance control approach for a dual-arm robot is presented with a bottle screw task. The presented approach aims at overcoming uncertainties from the object model and contact forces during the bottle screw task.” Funders for this research include National Key Research and Development Program of China, National Natural Science Foundation of China (NSFC), Chongqing Technology Innovation and Application Development Special Key Project, China Postdoctoral Science Foundation. The news correspondents obtained a quote from the research from Chongqing University, “A novel framework is proposed to synthesize the task motion planning and compliance control that ensure desired performance of both accuracy and compliant motion. The proposed task-based compliance control approach provides a hierarchical strategy: gross motion planning and fine compliance motion planning. The gross motion planning involves the absolute and relative motion control on a macroscale, while the fine compliance motion planning deals with uncertainties by the compliance control to accomplish a task requiring high precision robustly. A theoretical modeling of the bottle screw task is presented within the proposed framework through the analysis of uncertainties and constraints.”

Key words

Chongqing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Chongqing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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