Robotics & Machine Learning Daily News2024,Issue(Sep.9) :103-103.

Chinese Academy of Sciences Reports Findings in Robotics (A Highly Sensitive 3D- Printed Flexible Sensor for Sensing Small Pressures in Deep-Sea High-Pressure En vironment)

Robotics & Machine Learning Daily News2024,Issue(Sep.9) :103-103.

Chinese Academy of Sciences Reports Findings in Robotics (A Highly Sensitive 3D- Printed Flexible Sensor for Sensing Small Pressures in Deep-Sea High-Pressure En vironment)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating from Ningbo, People’s Rep ublic of China, by NewsRx correspondents, research stated, “The origin of life o n Earth is believed to be from the ocean, which offers abundant resources in its depths. However, deep-sea operations are limited due to the lack of underwater robots and rigid grippers with sensitive force sensors.” Our news editors obtained a quote from the research from the Chinese Academy of Sciences, “Therefore, it is crucial for deep-sea pressure sensors to be integrat ed with mechanical hands for manipulation. Here, a flexible stress sensor is pre sented that can function effectively under high water pressure in the deep ocean . Inspired by biological structures found in the abyssal zone, our sensor is des igned with an internal and external pressure balance structure (hollow interlock ing spherical structure). The digital light processing (DLP) three-dimensional ( 3D) printing technology is utilized to construct this complex structure after ob taining optimized structural parameters using finite element simulation. The sen sor exhibits linear sensitivity of 0.114 kPa within the range of 0-15 kPa and ha s an extremely short response time of 32 ms, good dynamic-static load response c apability, and excellent resistance cycling stability.”

Key words

Ningbo/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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