Robotics & Machine Learning Daily News2024,Issue(MAY.2) :16-17.

Reports Summarize Robotics Study Results from Nanjing University of Science and Technology (Gaussian Mixture Model and Deep Reinforcement Learning Based Driving Robot System Gearshift Strategy With Vehicle Longitudinal Driving States)

Robotics & Machine Learning Daily News2024,Issue(MAY.2) :16-17.

Reports Summarize Robotics Study Results from Nanjing University of Science and Technology (Gaussian Mixture Model and Deep Reinforcement Learning Based Driving Robot System Gearshift Strategy With Vehicle Longitudinal Driving States)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingfrom Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “Vehicle tests play a veryimport ant role in automotive manufacturing, and by using a driving robot for vehicle t ests, the efficiencyand accuracy of vehicle tests can be improved. In order to improve the accuracy and adaptability of thegearshift strategy for driving robo t system (DRS) in different manipulated vehicle longitudinal drivingstates, a g earshift strategy of DRS based on the Gaussian mixture model (GMM) and deep rein forcementlearning (DRL) is proposed.”

Key words

Nanjing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robot ics/Nanjing University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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