首页|Hebei University of Technology Reports Findings in Machine Learning (Machine Lea rning Assisted Electronic/Ionic Skin Recognition of Thermal Stimuli and Mechanic al Deformation for Soft Robots)
Hebei University of Technology Reports Findings in Machine Learning (Machine Lea rning Assisted Electronic/Ionic Skin Recognition of Thermal Stimuli and Mechanic al Deformation for Soft Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Tianjin, People's Republ ic of China, by NewsRx journalists, research stated, "Soft robots have the advan tage of adaptability and flexibility in various scenarios and tasks due to their inherent flexibility and mouldability, which makes them highly promising for re al-world applications. The development of electronic skin (E-skin) perception sy stems is crucial for the advancement of soft robots." Financial support for this research came from Natural Science Foundation of Chon gqing Municipality. The news correspondents obtained a quote from the research from the Hebei Univer sity of Technology, "However, achieving both exteroceptive and proprioceptive ca pabilities in E-skins, particularly in terms of decoupling and classifying sensi ng signals, remains a challenge. This study presents an E-skin with mixed electr onic and ionic conductivity that can simultaneously achieve exteroceptive and pr oprioceptive, based on the resistance response of conductive hydrogels. It is in tegrated with soft robots to enable state perception, with the sensed signals fu rther decoded using the machine learning model of decision trees and random fore st algorithms. The results demonstrate that the newly developed hydrogel sensing system can accurately predict attitude changes in soft robots when subjected to varying degrees of pressing, hot pressing, bending, twisting, and stretching."
TianjinPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNano-robotRobotics
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