首页|Data from University of Padua Provide New Insights into Machine Learning (Load T orque Estimation for Cable Failure Detection In Cable-driven Parallel Robots: a Machine Learning Approach)
Data from University of Padua Provide New Insights into Machine Learning (Load T orque Estimation for Cable Failure Detection In Cable-driven Parallel Robots: a Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news originating from Vicenza, Italy, by NewsRx corre spondents, research stated, “This paper proposes a method for cable failure dete ction in cable-driven parallel robots (CDPRs) with arbitrary architecture, which is based on the estimates of the motor load torques, together with machine lear ning algorithms. By just exploiting the dynamic model of each actuator in the co nditions of no load, an open-loop load torque observer is designed for each moto r to estimate the presence of a load coupled through a cable.” Funders for this research include Universita degli Studi di Padova within the CR UI-CARE Agreement, Ministry of Education, Universities and Research (MIUR), Euro pean Union (EU).
VicenzaItalyEuropeAlgorithmsCybo rgsEmerging TechnologiesMachine LearningNano-robotRoboticsUniversity o f Padua
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