Haibo Lu
Papers
9
Total Citations
115
H-Index
6
About
Haibo Lu is a rising researcher at the forefront of multi-robot systems, autonomous navigation, and intelligent manufacturing. His work masterfully bridges the gap between theoretical control and practical robotics, with a particular focus on heterogeneous systems—such as the coordination of unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and autonomous underwater vehicles (AUVs). Lu’s most cited paper, “Distributed dynamic rendezvous control of the AUV-USV joint system with practical disturbance compensations using model predictive control” (34 citations), showcases his expertise in robust, real-time coordination under real-world disturbances. He has also made significant contributions to industrial automation, notably developing a low-cost 3D modeling method for robotic spray painting using RGB-D cameras (18 citations), which addresses a critical bottleneck in manufacturing. His research extends to energy-efficient robotic limb design and high-precision visual measurement for aerospace assembly, demonstrating a rare versatility across domains. With a growing citation record and a portfolio that includes work on resilient multi-robot networks and reach-avoid game strategies, Haibo Lu is establishing himself as a key innovator in both marine robotics and advanced manufacturing.
Research Focus
Key Achievements
Top Papers
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