Robotics & Machine Learning Daily News2024,Issue(MAY.22) :103-103.

Findings from Qingdao University of Technology Yields New Data on Robotics (Desi gn and Motion Mechanism Analysis of Screwdriven In-pipe Inspection Robot Based On Novel Adapting Mechanism)

Robotics & Machine Learning Daily News2024,Issue(MAY.22) :103-103.

Findings from Qingdao University of Technology Yields New Data on Robotics (Desi gn and Motion Mechanism Analysis of Screwdriven In-pipe Inspection Robot Based On Novel Adapting Mechanism)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting originating from Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “In the pipeline i ndustry, it is often necessary to monitor cracks and damage in pipelines, or nee d to clean the inside of the pipeline regularly, or collect adhesive on the inne r wall of the pipe, but the pipe is too narrow and difficult for humans to enter , it is necessary to use a pipe machine to complete the work. In this paper, a n ewly designed screw-driven in-pipe inspection robot (IPIR) is proposed.”

Key words

Qingdao/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/Qingdao University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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