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

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

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)

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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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量52
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