Robotics & Machine Learning Daily News2024,Issue(Feb.7) :75-76.DOI:10.5194/ms-15-31-2024

New Data from Changsha University of Science and Technology Illuminate Research in Robotics (Design and analysis of a dual-rope crawler rope-climbing robot)

Robotics & Machine Learning Daily News2024,Issue(Feb.7) :75-76.DOI:10.5194/ms-15-31-2024

New Data from Changsha University of Science and Technology Illuminate Research in Robotics (Design and analysis of a dual-rope crawler rope-climbing robot)

扫码查看

Abstract

Data detailed on robotics have been presented. According to news reporting out of Changsha, People’s Republic of China, by NewsRx editors, research stated, “A rope-climbing robot (RCR) can reciprocate on a rope.” Financial supporters for this research include National Natural Science Foundation of China; Natural Science Foundation of Hunan Province; Education Department of Hunan Province. Our news editors obtained a quote from the research from Changsha University of Science and Technology: “To address the problems of poor load capacity and adaptability of the existing RCR, this study designs a dual-rope crawler type RCR, which can be used as a new type of transportation equipment in hilly, mountainous, and plateau areas. The crawler rope-climbing mechanism is a combination of a chain drive and the rope-climbing foot. Innovatively applying the parabolic theory of overhead rope to kinematically analyze the rope-climbing robot system, the robot motion trajectory model and the tilt angle equation are established. To establish the safe working interval of the rope-climbing robot, the influence of machine load and rope span on robot tilt angle is compared. Furthermore, research on the dynamic characteristics of the rope-climbing robot is carried out, establishing a time-varying system model of the dynamic tension of the rope in the rope-climbing robot system and analyzing the effects of speed and load on the dynamic tension of the rope and system stability.”

Key words

Changsha University of Science and Technology/Changsha/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
被引量1
参考文献量22
段落导航相关论文