Robotics & Machine Learning Daily News2024,Issue(Mar.19) :32-33.DOI:10.1109/TCDS.2023.3242373

Studies from Soochow University Yield New Data on Robotics (Obstacle Avoidance L earning for Robot Motion Planning In Humanrobot Integration Environments)

Robotics & Machine Learning Daily News2024,Issue(Mar.19) :32-33.DOI:10.1109/TCDS.2023.3242373

Studies from Soochow University Yield New Data on Robotics (Obstacle Avoidance L earning for Robot Motion Planning In Humanrobot Integration Environments)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating from Suzhou, Peop le’s Republic of China, by NewsRx correspondents, research stated, “In the human -robot integration environment, it is essential for mobile robots to pass throug h the crowd and complete the navigation task smoothly. However, the current main stream robot navigation algorithms only treat pedestrians as dynamic obstacles a nd passively avoid pedestrians in local planning.”

Key words

Suzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Soochow University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
参考文献量38
段落导航相关论文