Dezong Zhao

Loughborough University, University of Glasgow

Papers

Total Citations

H-Index

About

Dezong Zhao is a researcher whose work bridges human-robot interaction, computer vision, and intelligent robotics systems. His investigations into human grasping biomechanics have yielded foundational insights into cooperative manipulation, most notably through a rigorous study examining thumb-index finger grasping capabilities across 7,560 grasp-release trials. This work systematically characterized how factors such as gender and age influence maximum grasping mass and diameter, providing valuable data for the design of prosthetics, rehabilitation devices, and robotic grippers. Building on this foundation in physical interaction, Zhao has more recently turned his attention to the perception side of robotics, contributing to the challenge of six-degree-of-freedom object pose estimation. His Lite-HRPE framework addresses a frequently overlooked but critical real-world constraint: deploying accurate pose estimation models on resource-limited hardware platforms, a bottleneck that has hindered the broader adoption of intelligent robotic systems. With citations accruing across these complementary domains, Zhao's research trajectory reflects a coherent vision of making robots both physically capable and perceptually intelligent. His contributions offer practical value to engineers and researchers working at the intersection of human factors, computer vision, and deployable autonomous systems.