Papers
8
Total Citations
56
H-Index
3
About
Mugen Zhou is a leading researcher in biomimetic robotics, with a primary focus on the design, control, and coordination of amphibious spherical robots. His work addresses critical challenges in autonomous underwater navigation, particularly in constrained and obstacle-rich environments. Zhou’s major contributions include the development of advanced control algorithms that integrate model predictive control (MPC) and reinforcement learning to enable precise trajectory tracking and robust vector control under thruster saturation and dynamic disturbances. He has also pioneered multi-robot collaborative hunting strategies, using artificial potential fields and quadrotor-based localization to capture dynamic targets efficiently. His research on multi-binocular camera localization and active disturbance rejection control (ADRC) further enhances the autonomy and perceptual capabilities of these robots. With over 50 citations across his most-cited works, Zhou’s impact is evident in advancing the autonomy of biomimetic systems for real-world applications like rescue and detection. Notably, his 2020 paper on improved MPC for underwater trajectory tracking has garnered 32 citations, underscoring its significance in the field.
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