Junda Zhu

Shanghai Jiao Tong University, University of Macau

Papers

Total Citations

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About

Junda Zhu is a robotics researcher whose work focuses on the intersection of robotic locomotion and human-robot interaction. His key research areas include granular media mechanics for mobile robots and human-following systems. Zhu’s major contribution is the development of a dynamic resistive force model for wheeled robots operating in granular media, such as sand or soil. This model, detailed in his 2022 paper (18 citations), addresses the challenge of locomotion failure by providing a mechanical analysis framework for designing more effective wheels, enabling robots to traverse challenging terrains. Additionally, his 2015 work on simultaneous body part and motion identification (16 citations) advances human-following robots, allowing them to track and respond to human movements more accurately. Zhu’s research has practical implications for search-and-rescue missions, planetary exploration, and assistive robotics. His notable achievement lies in bridging the gap between theoretical mechanics and real-world robotic design, offering engineers actionable insights to improve robot mobility and autonomy. With a growing citation impact, Zhu is establishing himself as a key contributor to robotics, particularly in environments where traditional locomotion fails.