Xiaogang Dong
Papers
2
Total Citations
19
H-Index
2
About
Xiaogang Dong is a leading researcher in advanced robotics, specializing in modular robot manipulators (MRMs) and human-robot interaction. His work focuses on solving complex coordination and control problems through the lens of game theory and optimal control. Dong’s major contributions include pioneering the use of Stackelberg-Pareto differential games for user-led physical human-robot interaction (pHRI), enabling robots to intuitively adapt to human intent during tasks like assembly and handling. He has also advanced event-triggered mixed nonzero-sum game optimal control for coordinated multi-robot operations, significantly improving efficiency in industrial applications. His most cited papers, including a 2025 study with 11 citations, demonstrate immediate impact by addressing critical challenges in real-time robot control and safety. Dong’s work is notable for bridging theoretical game theory with practical robotic systems, offering scalable solutions for modular robots in dynamic environments. His research is essential reading for students and engineers interested in next-generation collaborative robotics, optimal control, and human-centered automation.
Research Focus
Key Achievements
Top Papers
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- 2