首页|Findings from Zhejiang Science Technical University Yields New Findings on Robot ics (Shape Self-sensing Pneumatic Soft Actuator Based On the Liquid-metal Piecew ise Curvature Sensor)
Findings from Zhejiang Science Technical University Yields New Findings on Robot ics (Shape Self-sensing Pneumatic Soft Actuator Based On the Liquid-metal Piecew ise Curvature Sensor)
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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 from Hangzhou, People’s Repub lic of China, by NewsRx journalists, research stated, “The shape estimation tech nique can help solve the end positioning or grasping control of soft robots. How ever, there is a lack of sensing and modeling techniques for accurate deformatio n estimation and soft robots with axial elongation, e.g., pneumatic soft actuato rs (PSAs).” The news correspondents obtained a quote from the research from Zhejiang Science Technical University, “This paper presents a shape-self-sensing pneumatic soft actuator (SPSA) with integrated liquid-metal piecewise curvature sensors (LMCSs) . Two types of LM composite (Ga-In-Sn/Ga2O3 composites for the sensor and Ga-In- Sn/NdFeB/Ni for the electronic wire) were used to build the strain sensor networ k. Furthermore, a piecewise variable curvature (PVC) model was developed to pred ict the bending deformation of the soft actuator. A two-SPSAs-based gripper was built to test the identification performance of LMCSs. The results indicate that SPSA could perform contact and size identification using the PVC model. In addi tion, the K-nearest neighbors (KNN) algorithm was used to classify the shape of the targets. Finally, the circular, triangular, and square targets were identifi ed with an accuracy rate of 93.3%.”
HangzhouPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRoboticsZhejiang Scie nce Technical University
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