首页|Studies Conducted at Wuhan Institute of Technology on Robotics Recently Reported (Joint Torque Prediction of Industrial Robots Based On Pso-lstm Deep Learning)
Studies Conducted at Wuhan Institute of Technology on Robotics Recently Reported (Joint Torque Prediction of Industrial Robots Based On Pso-lstm Deep Learning)
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NETL
NSTL
Emerald Group Publishing
Fresh data on Robotics are presented in a new report. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “PurposeBecause of the key role of joint torque in industrial robots (IRs) motion performance control and energy consumption calculation and efficiency optimization, the purpose of this paper is to propose a deep learning torque prediction method based on long short-term memory (LSTM) recurrent neural networks optimized by particle swarm optimization (PSO), which can accurately predict the the joint The proposed model optimized the LSTM with PSO algorithm to accurately predict the Irs joint torque. The authors design an excitation trajectory for ABB 1600-10/145 experimental robot and collect its relative dynamic data.”
WuhanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsWuhan Institute of Technology
NETL
NSTL
Emerald Group Publishing
