ZELING LI -

Papers

Total Citations

112

H-Index

About

Zeling Li is a leading researcher in human-robot interaction and computer vision, with a focus on intuitive teleoperation systems. His most influential work, "Markerless Kinect-Based Hand Tracking for Robot Teleoperation" (2012), has garnered 112 citations, establishing a foundation for natural, vision-based control of robotic systems. Li pioneered the use of consumer-grade depth sensors—specifically the Microsoft Kinect—to enable real-time, markerless tracking of hand gestures, allowing operators to control robot manipulators through natural hand poses rather than cumbersome gloves or controllers. By processing depth images to estimate the 3D positions of the index finger and thumb, his algorithm translates human hand configurations directly into robot end-effector poses, dramatically lowering the barrier to intuitive remote operation. This contribution has proven vital for applications in hazardous environments, assistive robotics, and telemedicine. Li’s work bridges the gap between human dexterity and robotic precision, demonstrating how accessible hardware combined with clever computer vision can democratize advanced robotic control. His research continues to influence modern teleoperation interfaces and human-robot collaboration systems.