Robotics & Machine Learning Daily News2024,Issue(Jan.30) :61-61.

Researchers at Chinese Academy of Sciences Target Robotics (Kalman Filter-based One-shot Sim-to-real Transfer Learning)

Robotics & Machine Learning Daily News2024,Issue(Jan.30) :61-61.

Researchers at Chinese Academy of Sciences Target Robotics (Kalman Filter-based One-shot Sim-to-real Transfer Learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented in a new report. According to news reportingoriginating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Deepreinforcementlearning algorithms offer a promising method for industrial robots to tackle unstructured andcomplex scenarios that are difficult to model. However, due to constraints related to equipment lifespanand safety requirements, acquiring a number of samples directly from the physical environment is ofteninfeasible.”

Key words

Shenyang/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Chinese Academy of Sciences

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文