Teng Zhou

University of North Carolina at Charlotte

Papers

Total Citations

H-Index

About

Teng Zhou is a robotics researcher whose work focuses on the intersection of continuum robotics, autonomous manipulation, and object modeling. His primary research areas include continuum grasping, where he explores how flexible, trunk-like manipulators can autonomously wrap around and grasp objects of varying shapes and sizes. Zhou’s major contribution lies in developing methods for real-time autonomous grasping with continuum manipulators, as demonstrated in his most-cited paper (27 citations), which addresses the challenge of enabling these soft robots to deftly handle diverse objects without human intervention. He also tackles the problem of progressive object modeling in unknown environments (6 citations), combining perception and manipulation to build 3D models of objects with no prior information. His work on automatic object modeling (3 citations) further integrates robotic manipulation with visual sensing to create appearance-based models. Zhou’s research is notable for pushing the boundaries of soft robotics and autonomous systems, offering practical solutions for robots operating in unstructured, real-world settings. His contributions are particularly valuable for students and researchers interested in continuum manipulators, autonomous grasping, and the synergy between perception and action in robotics.