ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,430,798, issued on Sept. 30, was assigned to TSINGHUA UNIVERSITY (Beijing).
"Reinforcement learning-based label-free six-dimensional object pose prediction method and apparatus" was invented by Xiangyang Ji (Beijing) and Jianzhun Shao (Beijing).
According to the abstract* released by the U.S. Patent & Trademark Office: "Provided are a reinforcement learning-based label-free six-dimensional object pose prediction method and apparatus. The method includes: obtaining a target image to be predicted, the target image being a two-dimensional image including a target object; performing pose prediction based on the target image by using a pre-trained pose prediction model to obtain a predic...