Papers
41
Total Citations
2,956
H-Index
16
About
Rongxin Cui is a prominent researcher specializing in autonomous underwater vehicles (AUVs), robot control systems, and multi-robot coordination. His work spans underwater robotics, motion planning, adaptive control, and machine learning-based robotic systems, establishing him as a leading figure in intelligent autonomous systems. Cui's most celebrated contributions include his pioneering work on leader–follower formation control for underactuated AUVs (2010, 647 citations), which fundamentally advanced how autonomous underwater systems coordinate in complex marine environments. Equally influential is his development of an Extended State Observer-Based Integral Sliding Mode Controller for underwater robots (2017, 551 citations), elegantly addressing the persistent challenges of unknown disturbances and uncertain hydrodynamics. His research on multi-AUV path planning using mutual information and multidimensional RRT* (2015, 306 citations) further strengthened autonomous ocean-sensing capabilities. Beyond underwater robotics, Cui has made significant contributions to robot learning and human-robot interaction. His robot learning system integrating adaptive neural control with dynamic movement primitives (2018, 346 citations) and neural networks-enhanced admittance control for robot-environment interaction (2018, 194 citations) demonstrate his versatility across robotic intelligence domains. With thousands of cumulative citations, Cui's research continues to shape modern autonomous robotics and control engineering.
Research Focus
Key Achievements
Top Papers
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- 9Mutual Synchronization of Multiple Robot Manipulators with Unknown Dynamics70 citations · 2012
- 10Game theory-based negotiation for multiple robots task allocation69 citations · 2013