Robotics & Machine Learning Daily News2024,Issue(MAY.6) :12-13.

New Robotics Findings from University of California San Diego (UCSD) Described (Material Scrunching Enables Working Channels In Miniaturized Vine-inspired Robots)

Robotics & Machine Learning Daily News2024,Issue(MAY.6) :12-13.

New Robotics Findings from University of California San Diego (UCSD) Described (Material Scrunching Enables Working Channels In Miniaturized Vine-inspired Robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Robotic s. According to news reporting originating fromLa Jolla, California, by NewsRx correspondents, research stated, “A new subclass of soft robot, known astip-ext ending or ‘vine’ robots, consists of long inflatable devices that move through t he environment byextending from the tip. A key requirement for many application s of these robots is a working channel-ahollow tube through the core of the rob ot for passing tools, sensors, fluids, etc.”Financial support for this research came from National Science Foundation (NSF).Our news editors obtained a quote from the research from the University of Calif ornia San Diego(UCSD), “While working channels have been proposed in a few vine robots, it remains an open challengeto create miniaturized vine robots (diamet er <1 cm) with working channels that enable continuous access through the core. In this article, we analyze the growth models of current vi ne robot designs and showthat the working channel greatly increases required pr essure to grow at small scales due to internal friction.Based on this insight, we propose the concept of storing scrunched material at the tip of the vine robotto circumvent this frictional force. We validate our models and demonstrate th is concept via prototypesdown to diameter of 2.3 mm.”

Key words

La Jolla/California/United States/North and Central America/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/University of California San Diego (UCSD)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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