Robotics & Machine Learning Daily News2024,Issue(Feb.28) :23-24.DOI:10.1016/j.euromechsol.2023.105087

New Findings on Robotics Described by Investigators at Maulana Azad National Institute of Technology (A Physics-based Failure Study of Smart Artificial Tissues In Human-like Soft Robots)

Robotics & Machine Learning Daily News2024,Issue(Feb.28) :23-24.DOI:10.1016/j.euromechsol.2023.105087

New Findings on Robotics Described by Investigators at Maulana Azad National Institute of Technology (A Physics-based Failure Study of Smart Artificial Tissues In Human-like Soft Robots)

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Abstract

A new study on Robotics is now available. According to news originating from Madhya Pradesh, India, by NewsRx correspondents, research stated, "Artificial tissues made of fiber-reinforced elastomers typically have mechanical properties similar to biological tissues. Such a similarity motivates artificial tissue usage in building human-like soft robots aiming primarily to perform a wide range of humanlike motions and effectively interact with the human environment." Our news journalists obtained a quote from the research from the Maulana Azad National Institute of Technology, "Soft robots can be ripped or damaged for unknown reasons in a variety of applications. The literature has no unified stress-based criterion for predicting the critical zones of artificial tissues undergoing deformations. Such a unified stress-based criterion typically entails detecting internal damage and establishing the stress limit criterion based on the maximum stretching threshold. The current study establishes an experimentally validated rupture criterion for a novel class of smart artificial tissues made of electro-active polymers motivated by biological tissue damages in several robust conditions. A thermodynamically consistent mechanoelectrical deformation model is formulated, demonstrating that such tissues have inherent anisotropy that must be taken into account when modeling such materials. Later, a continuum physics-based rupture model is derived as a unified stress-based criterion to investigate the effect of physical parameters associated with artificial tissue failure."

Key words

Madhya Pradesh/India/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Maulana Azad National Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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