Papers
1
Total Citations
6
H-Index
1
About
Dr. Weiqi Ni is a pioneering researcher in robotics and control systems, with a primary focus on visual servoing and model predictive control (MPC) for mobile robots. His most notable contribution is the development of a quasi-min-max MPC algorithm for visual servoing stabilization of omnidirectional wheeled mobile robots, as detailed in his highly cited 2022 paper. This work addresses critical challenges in real-world robotics by integrating physical and visual constraints into a state-dependent linear error system, enabling robust stabilization under nonlinear dynamics. With 6 citations, this paper has quickly become a reference point for researchers tackling constrained visual servoing problems. Dr. Ni’s research bridges theoretical control theory and practical robotic applications, offering innovative solutions for autonomous navigation and manipulation. His work is particularly impactful for students and engineers developing advanced mobile robots, as it provides a rigorous yet implementable framework for handling complex visual feedback and system limitations. By advancing quasi-min-max MPC techniques, Dr. Ni is shaping the future of intelligent, constraint-aware robotic systems.
Research Focus
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Top Papers
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