Robotics & Machine Learning Daily News2024,Issue(MAY.23) :22-22.

Recent Studies from University of California San Diego (UCSD) Add New Data to Ro botics (A Reconfigurable Soft Linkage Robot Via Internal 'virtual' Joints)

Robotics & Machine Learning Daily News2024,Issue(MAY.23) :22-22.

Recent Studies from University of California San Diego (UCSD) Add New Data to Ro botics (A Reconfigurable Soft Linkage Robot Via Internal 'virtual' Joints)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating from La Jolla, Ca lifornia, by NewsRx correspondents, research stated, “Traditional robots derive their capabilities of movement through rigid structural ‘links’ and discrete act uated ‘joints.’ Alternatively, soft robots are composed of flexible materials th at permit movement across a continuous range of their body and appendages and th us are not restricted in where they can bend. While tradeoffs between material choices may restrain robot functionalities within a narrow spectrum, we argue th at bridging the functional gaps between soft and hard robots can be achieved fro m a hybrid design approach that utilizes both the reconfigurability and the cont rollability of traditional soft and hard robot paradigms.”

Key words

La Jolla/California/United States/Nor th and Central America/Emerging Technologies/Machine Learning/Nano-robot/Rob ot/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

ISSN:
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