Papers
13
Total Citations
272
H-Index
9
About
Mingxue Cai is an innovative robotics researcher whose work spans underwater robotic vision, magnetically actuated miniature robots, and minimally invasive surgical systems. His early contributions include a real-time underwater vision sensing system leveraging Retinex-based image enhancement for robotic gripping (2020, 59 citations), demonstrating his ability to bridge perception and manipulation in challenging environments. Cai's research then evolved toward magnetically driven systems, where he has made particularly significant strides. His deep reinforcement learning framework for controlling soft magnetic miniature robots in unstructured fluidic environments (2022, 56 citations) represents a landmark contribution to precision biomedical robotics. He has been instrumental in advancing magnetic continuum robots (MCRs), tackling key challenges in deformation control, modular magnetization design, and intraoperative programmability — work that has collectively accumulated nearly 100 citations across multiple studies. His development of reconfigurable electromagnetic actuation systems capable of operating over large workspaces further underscores his systems-level thinking. Most recently, Cai has addressed critical clinical barriers by integrating triaxial force sensing into magnetic catheter robots for minimally invasive surgery. Across his growing body of work, Cai is establishing himself as a leading voice in intelligent, magnetically guided robotic systems for medical applications.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Underwater Onboard Vision Sensing System for Robotic Gripping59 citations · 2020
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- 3Magnetic Continuum Robot with Intraoperative Magnetic Moment Programming29 citations · 2023
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