Dengming Zhu

Papers

Total Citations

H-Index

About

Dengming Zhu is a researcher whose work bridges geometric computation and robotic manipulation. His key research areas include point set registration, computer vision, and robotic grasping. Zhu’s most notable contribution is his foundational work on total least squares fitting of point sets in m-D, which addresses the absolute orientation problem by minimizing mean squared error under similarity transformations. This method has been widely applied in photogrammetry, robotics, object motion analysis, and pose estimation, earning 11 citations since 2005. More recently, Zhu has advanced robotic perception with his 2023 paper on accurate grasp detection using angular label smoothing, a technique that improves the precision of robotic grasping systems. This work, already garnering 3 citations, demonstrates his ongoing impact in robotics and computer vision. Zhu’s research continues to influence both theoretical geometry and practical robotic applications, making him a valuable contributor to the field.