首页|New Findings from Harbin Institute of Technology in the Area of Robotics Reporte d (Disturbance Observer-based Control for Cabledriven Parallel Robots With Exte rnal Disturbance Using Deep Reinforcement Learning)
New Findings from Harbin Institute of Technology in the Area of Robotics Reporte d (Disturbance Observer-based Control for Cabledriven Parallel Robots With Exte rnal Disturbance Using Deep Reinforcement Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Robotics have been pr esented. According to news reporting fromHarbin, People’s Republic of China, by NewsRx journalists, research stated, “In cable-driven parallel robots(CDPRs) p ractical applications, external disturbances inevitably influence the actuator p erformance,leading to low positioning accuracy of end-effector (EE), and even s ystem crashes. This paper addressesa disturbance observer-based control scheme using deep reinforcement learning (RL) to suppress the effectof external distur bances.”
HarbinPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotReinforcement LearningR oboticsHarbin Institute of Technology
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