Papers
18
Total Citations
581
H-Index
8
About
An-Min Zou is a robotics and control systems researcher whose work spans mobile robot navigation, adaptive control, and multi-agent systems. Over nearly two decades of sustained research, Zou has made significant contributions to addressing real-world uncertainties in robotic systems, developing intelligent control frameworks that bridge theoretical rigor with practical applicability. Zou's most influential work, "Adaptive Control of an Electrically Driven Nonholonomic Mobile Robot via Backstepping and Fuzzy Approach" (2009, 242 citations), exemplifies his hallmark approach of combining adaptive control, backstepping techniques, and fuzzy logic to handle model uncertainties across robot kinematics, dynamics, and actuator systems. His early research laid important groundwork in neural network-based navigation, camera calibration, and vision-guided locomotion, collectively establishing robust perceptual foundations for autonomous mobile robots. Beyond single-robot systems, Zou extended his expertise to cooperative robotics, proposing adaptive consensus control strategies for multiple manipulators with kinematic uncertainties — a notable advance in multi-agent coordination. His more recent work on finite-time formation tracking control and swarm robot pattern generation demonstrates his continued evolution toward distributed, constraint-aware, and evolutionary computation approaches. With a citation record reflecting consistent scholarly impact, Zou remains a valuable contributor to the intelligent robotics research community.
Research Focus
Key Achievements
Top Papers
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- 2Neural Networks for Mobile Robot Navigation: A Survey86 citations · 2006
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- 4A behavior controller based on spiking neural networks for mobile robots74 citations · 2007
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- 10Vision-Guided Mobile Robot Navigation5 citations · 2006