Robotics & Machine Learning Daily News2024,Issue(Jul.8) :84-85.

Shenyang National Laboratory for Materials Science Reports Findings in Robotics (Fatigue crack-based strain sensors achieving flow detection and motion monitori ng for reconnaissance robot applications)

Robotics & Machine Learning Daily News2024,Issue(Jul.8) :84-85.

Shenyang National Laboratory for Materials Science Reports Findings in Robotics (Fatigue crack-based strain sensors achieving flow detection and motion monitori ng for reconnaissance robot applications)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingfrom Shenyang, People’s Republic of C hina, by NewsRx journalists, research stated, “Crack-based flexiblestrain senso rs with ultra-high sensitivity under tiny strain are highly desired for environm ental perceptionand motion detection of novel flexible and miniature robots. Ho wever, previously reported methods for fabricating crack patterns have often sac rificed the cyclic stability of the sensor, leading to a trade-offrelationship between the sensitivity and the cyclic stability.”

Key words

Shenyang/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Nano-robot/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:
段落导航相关论文