Zhekang Dong

Hangzhou Dianzi University, Hong Kong Polytechnic University

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About

Zhekang Dong is a researcher at the forefront of intelligent robotics and human-robot collaboration, with a particular focus on service-oriented automation and vision-based manipulation. His work bridges deep learning and robotic control to create systems that can perceive, track, and interact with dynamic environments. Dong’s most notable contribution is the development of an intelligent master–slave collaborative robot system for cafeteria service (2022), which has garnered 12 citations for its practical integration of AI into real-world service tasks. This work demonstrates how robots can safely and efficiently assist in crowded, unstructured settings. He has also advanced eye-to-hand robotic tracking and grasping using deep learning strategies (2020), contributing to the field of visual servoing. Dong’s research is distinguished by its emphasis on deployable, human-centric solutions—moving robotics beyond the lab and into daily life. His achievements highlight a commitment to making robotic systems more adaptive, intuitive, and useful in service industries, with clear potential for broader applications in healthcare, hospitality, and domestic assistance.