Yuping Zhang

University of Electronic Science and Technology of China

Papers

Total Citations

H-Index

About

Yuping Zhang is a researcher in robotics and human–machine interaction, with a primary focus on intuitive control strategies for mobile robotic systems. Their most cited work, "Hand gesture based control strategy for mobile robots" (2017, 12 citations), introduces a novel approach that enables mobile robots to interpret and respond to control signals encoded through hand gestures. In this study, Zhang developed techniques to segment gesture regions from complex backgrounds and accurately recognize gestures using image processing methods, allowing for seamless, non-contact robot navigation. This contribution addresses key challenges in natural user interfaces, making robotic control more accessible and efficient. Zhang’s work bridges computer vision and robotics, offering practical solutions for assistive technologies, industrial automation, and human–robot collaboration. While their citation count reflects a focused but emerging impact, the research lays important groundwork for gesture-based control systems. By prioritizing real-time, robust gesture recognition in dynamic environments, Yuping Zhang continues to advance the field of interactive robotics, contributing to a future where machines can be guided by simple, natural human movements.