New Findings on Robotics Described by Investigators at Xi’an Jiaotong University (Energy-efficient Trajectory Planning for a Class of Industrial Robots Using Pa rallel Deep Reinforcement Learning)
New Findings on Robotics Described by Investigators at Xi’an Jiaotong University (Energy-efficient Trajectory Planning for a Class of Industrial Robots Using Pa rallel Deep Reinforcement Learning)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news reporting from Xi’an,People’s Republic of China, by NewsR x journalists, research stated, “With the widespread applicationof industrial r obots, there is growing interest in optimizing their energy consumption during m otionprocesses. Traditional methods typically rely on nonlinear optimization, w hich can effectively reduce theenergy consumption for a given task, but the opt imization is time-consuming so that challenging for fixedcontinuous production lines with evolving tasks.”
Key words
Xi’an/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Reinforcement Learning/Ro bot/Robotics/Xi’an Jiaotong University
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