New Robotics Data Have Been Reported by Investigators at University of Victoria (End-to-end Deep Learning-based Framework for Path Planning and Collision Checki ng: Bin-picking Application)

Robotics & Machine Learning Daily News2024，Issue(Mar.19) ：100-101.DOI:10.1017/S0263574724000109

来源：

NETL
NSTL
Cambridge Univ Press

New Robotics Data Have Been Reported by Investigators at University of Victoria (End-to-end Deep Learning-based Framework for Path Planning and Collision Checki ng: Bin-picking Application)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting originating from Victoria, Canada, by NewsRx cor respondents, research stated, “Real-time and efficient path planning is critical for all robotic systems. In particular, it is of greater importance for industr ial robots since the overall planning and execution time directly impact the cyc le time and automation economics in production lines.”

Key words

Victoria/Canada/North and Central Amer ica/Emerging Technologies/Machine Learning/Robotics/Robots/University of Vi ctoria

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

被引量1

参考文献量52

段落导航