Papers
27
Total Citations
560
H-Index
12
About
Quanmin Zhu is a prominent researcher specializing in robotics control systems, multi-agent coordination, and intelligent control algorithms. His work has made substantial contributions to the field of cooperative robotic systems, particularly in developing advanced control frameworks for multiple robotic manipulators operating in concert. Zhu's most influential contributions center on synchronization control for multi-robot systems, where he has pioneered neural network-based consensus frameworks, sliding mode control techniques, and adaptive approaches that handle uncertain kinematics and dynamics — challenges that are fundamental to real-world robotic deployment. His 2014 neural networks consensus framework has garnered 90 citations, while his series of synchronization control papers collectively demonstrate a sustained and evolving research trajectory spanning over a decade. Beyond manipulator control, Zhu has extended his expertise into mobile robotics, contributing notable work on multi-sensor fusion indoor localization for micro air vehicles and rigid formation control for mobile robot teams. His 2017 review of parallel robot manipulator control strategies further reflects his broad command of the field. With over 440 cumulative citations across his most recognized works, Zhu's research has meaningfully shaped how engineers approach coordinated robotic systems, fault-tolerant control, and autonomous robot navigation, making him an authoritative voice for students and researchers entering these rapidly advancing domains.
Research Focus
Key Achievements
Top Papers
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- 7Control design approaches for parallel robot manipulators: a review25 citations · 2017
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