Papers
9
Total Citations
36
H-Index
5
About
Yiming Cui is a leading researcher in the field of modular robot manipulators (MRMs), with a primary focus on human-robot collaboration, adaptive control, and optimal decision-making. His work centers on developing decentralized control strategies that enable safe and efficient physical human-robot interaction, particularly through innovative approaches to motion intention estimation and variable impedance control. Cui has made significant contributions by integrating advanced techniques such as integral reinforcement learning, zero-sum and nonzero-sum differential games, and event-triggered mechanisms to achieve optimal tracking control under uncertain disturbances. His notable achievements include the development of a Gaussian process-based motion intention estimation method for decentralized variable impedance control and a value iteration-based adaptive fuzzy backstepping optimal control framework. With several papers published in 2023-2025, his research has already garnered over 30 citations, demonstrating growing impact. Cui's work is distinguished by its experimental verification, bridging theoretical advances with practical implementation in modular robot systems for collaborative tasks.
Research Focus
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