Chunlong Mi
Papers
2
Total Citations
46
H-Index
2
About
Chunlong Mi is a leading researcher in the field of bio-inspired robotics, with a primary focus on the modeling and control of robotic fish. His work addresses the fundamental challenge of achieving precise, stable steering in underwater robots, which are often plagued by complex nonlinear dynamics and environmental disturbances. Mi’s major contribution lies in pioneering the use of data-assisted techniques to construct more accurate dynamic models of robotic fish. By integrating empirical data with traditional physics-based models, he has significantly improved the fidelity of simulations, enabling more effective control strategies. His most cited work, "Precise Discrete-Time Steering Control for Robotic Fish Based on Data-Assisted Technique and Super-Twisting-Like Algorithm" (2020, 42 citations), introduces a novel discrete-time super-twisting-like controller that achieves robust, chatter-free steering. This research, along with his earlier foundational paper on discrete-time sliding mode control (2018), has established a new paradigm for designing high-performance controllers for underactuated robotic systems. Mi’s work is highly influential, providing practical solutions for autonomous underwater vehicles and advancing the state of the art in nonlinear control theory.
Research Focus
Key Achievements
Top Papers
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