Robotics & Machine Learning Daily News2024,Issue(Feb.7) :24-25.DOI:10.1016/j.mech-machtheory.2023.105549

Reports Outline Robotics Study Findings from Hefei University of Technology (Design and Implementation of a 7-dof Cable-driven Serial Spray-painting Robot With Motion-decoupling Mechanisms)

Robotics & Machine Learning Daily News2024,Issue(Feb.7) :24-25.DOI:10.1016/j.mech-machtheory.2023.105549

Reports Outline Robotics Study Findings from Hefei University of Technology (Design and Implementation of a 7-dof Cable-driven Serial Spray-painting Robot With Motion-decoupling Mechanisms)

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Abstract

Data detailed on Robotics have been presented. According to news reporting originating in Anhui, People’s Republic of China, by NewsRx journalists, research stated, “This paper presents the design and implementation of a 7-DOF cable-driven serial spray-painting robot (CDSSR) featuring motiondecoupling mechanisms and introduces an improved nonsingular inverse kinematics method for redundant serial robots. In the study, first, the motioncoupling characteristics of cable-driven joints and motiondecoupling methods based on translational and rotational compensation were examined.” Financial support for this research came from National Natural Science Foundation of China (NSFC). The news reporters obtained a quote from the research from the Hefei University of Technology, “Next, the mechanical structure of the CDSSR was designed, including motion-decoupling mechanisms, cable-driven differential wrists, and tension-amplification mechanisms. In addition, an improved nonsingular inverse kinematics approach incorporating dual-arm angles and configuration control parameters was developed. Finally, an experimentally scaled prototype of the proposed robot was constructed, and motion decoupling and spray trajectory planning experiments were conducted. The experimental and simulation results demonstrate the effectiveness of the non-singular inverse kinematics method in achieving efficient inverse kinematics solutions under global configuration control.”

Key words

Anhui/People’s Republic of China/Asia/Emerging Technologies/Inverse Kinematics/Machine Learning/Robot/Robotics/Hefei 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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