首页|Investigators from Graduate School of Biomedical Engineering Target Machine Lear ning (Shape Programmable and Multifunctional Soft Textile Muscles for Wearable a nd Soft Robotics)
Investigators from Graduate School of Biomedical Engineering Target Machine Lear ning (Shape Programmable and Multifunctional Soft Textile Muscles for Wearable a nd Soft Robotics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Sydney, Australia, by NewsRx corr espondents, research stated, “Textiles are promising candidates for use in soft robots and wearable devices due to their inherent compliance, high versatility, and skin comfort. Planar fluidic textile-based actuators exhibit low profile and high conformability, and can seamlessly integrate additional components (e.g., soft sensors or variable stiffness structures [VSSs] ) to create advanced, multifunctional smart textile actuators.” Financial support for this research came from National Heart Foundation of Austr alia.
SydneyAustraliaAustralia and New Zea landMachine LearningGraduate School of Biomedical Engineering
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