Robotics & Machine Learning Daily News2024,Issue(Nov.6) :2-2.

Studies from University of Michigan Further Understanding of Robotics and Automa tion [Se3et: Se(3)-equivariant Transformer for Low-overlap Po int Cloud Registration]

Robotics & Machine Learning Daily News2024,Issue(Nov.6) :2-2.

Studies from University of Michigan Further Understanding of Robotics and Automa tion [Se3et: Se(3)-equivariant Transformer for Low-overlap Po int Cloud Registration]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation.According to news reporting originating from Ann Ar bor, Michigan, by NewsRx correspondents, research stated, “Partial point cloud r egistration is a challenging problem in robotics, especially when the robot unde rgoes a large transformation, causing a significant initial pose error and a low overlap between measurements.This letter proposes exploiting equivariant learn ing from 3D point clouds to improve registration robustness.”

Key words

Ann Arbor/Michigan/United States/Nort h and Central America/Robotics and Automation/Robotics/University of Michigan

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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