首页|Studies from University of Michigan Further Understanding of Robotics and Automa tion [Se3et: Se(3)-equivariant Transformer for Low-overlap Po int Cloud Registration]
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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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.”
Ann ArborMichiganUnited StatesNort h and Central AmericaRobotics and AutomationRoboticsUniversity of Michigan
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