Robotics & Machine Learning Daily News2024,Issue(Feb.19) :1-2.DOI:10.1109/TRO.2023.3343994

Data on Robotics Reported by Researchers at University of Washington (Persistent Homology Meets Object Unity: Object Recognition In Clutter)

Robotics & Machine Learning Daily News2024,Issue(Feb.19) :1-2.DOI:10.1109/TRO.2023.3343994

Data on Robotics Reported by Researchers at University of Washington (Persistent Homology Meets Object Unity: Object Recognition In Clutter)

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Abstract

New research on Robotics is the subject of a report. According to news originating from Seattle, Washington, by NewsRx correspondents, research stated, “Recognition of occluded objects in unseen and unstructured indoor environments is a challenging problem for mobile robots. To address this challenge, we propose a new descriptor, Topological features Of Point cloud Slices (TOPS), for point clouds generated from depth images and an accompanying recognition framework, TOPS for Humaninspired Object Recognition (THOR), inspired by human reasoning.”

Key words

Seattle/Washington/United States/North and Central America/Emerging Technologies/Machine Learning/Nano-robot/Robotics/University of Washington

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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65
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