首页|Studies from Fudan University Yield New Data on Androids (Crosstalk-free Impedan ce-separating Array Measurement With Error Compensation for Iontronic Tactile Se nsors)
Studies from Fudan University Yield New Data on Androids (Crosstalk-free Impedan ce-separating Array Measurement With Error Compensation for Iontronic Tactile Se nsors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics - Androids. According to news reporting originating from Shanghai, People ’s Republic of China, by NewsRx correspondents, research stated, “Iontronic tact ile sensors are promising to measure spatial-temporal contact information with h igh performance. However, no suitable measuring method has been presented due to issues with crosstalk and nonnegligible equivalent resistance.” Our news editors obtained a quote from the research from Fudan University, “Henc e, this study presents an impedance-separating method, which does not require co mplex analog components or a continuous analog-to-digital sampling process. A ge neral quadri-terminal impedance network (QTIN) model is introduced to reduce cro sstalk. Based on a crosstalk visualizing platform, the features of concurrent io ntronic measuring methods are analyzed, indicating specific merits between the Q TIN model and the impedance-separating method. Then, a compensating method was p resented to reduce the measuring error caused by temperature and scanning lag. T he precise ranges are measured using standard components and compared with the t heoretical error, which shows nonrectangle shapes suitable for the response of a homemade iontronic tactile sensor. A simple denoising method is provided to red uce initial array noise. Then, physical human-robot interaction (pHRI) informati on was analyzed, showing similarities and differences between capacitance and re sistance features.”
ShanghaiPeople’s Republic of ChinaAs iaAndroidsEmerging TechnologiesHuman-Robot InteractionMachine LearningRobotRoboticsFudan University
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