Wayne Zhang

University of Science and Technology of China, Shandong University

Papers

Total Citations

H-Index

About

Wayne Zhang is a robotics researcher whose work sits at the intersection of human perception and machine manipulation. His primary research areas include human-robot interaction, computer vision, and assistive robotics, with a particular focus on developing intuitive interfaces that bridge the gap between human intent and robotic action. Zhang’s most significant contribution is his pioneering work on gaze-guided robotic grasping, as demonstrated in his highly cited 2023 paper, "What You See is what You Grasp: User-Friendly Grasping Guided by Near-eye-tracking." This study introduces a novel head-mounted system that combines eye-tracking technology with robotic manipulation, allowing users to command pick-and-place tasks simply by looking at an object. By translating visual cues directly into robotic actions, Zhang’s work has opened new possibilities for assistive technologies, particularly for individuals with limited mobility. His earlier research on vision-based mobile robot localization, which utilizes SURF descriptors for mapping and navigation, further showcases his expertise in autonomous systems. With a growing citation count and a clear trajectory toward user-centered robotics, Wayne Zhang is establishing himself as a key innovator in making robots more accessible and responsive to human needs.