Papers
11
Total Citations
95
H-Index
4
About
Jun-Guo Lu is a leading researcher in multi-robot systems, with a focus on formation control, fault tolerance, and trajectory tracking under real-world constraints. His major contributions include developing distributed control strategies that address critical challenges such as sampled-data communication, time delays, and actuator faults—problems that are essential for reliable multi-robot coordination. His 2016 paper on formation control with sampled-data and communication delays has garnered 67 citations, reflecting its foundational impact. Lu has also advanced the field by tackling robot malfunctions in formation control (2018) and leader-following scenarios with unknown leader velocities (2020). Notably, his recent work extends to bio-inspired robotics, including wing optimization for tailless flapping-wing robots (2025) and the integration of large language models for bipedal robot training (AnyBipe, 2024). Additionally, his early research on flexible inspection robots for the EAST tokamak demonstrates versatility. With over 90 total citations, Lu’s work bridges theoretical control design and practical deployment, making him a key figure in resilient, communication-constrained multi-robot systems.
Research Focus
Key Achievements
Top Papers
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- 5An internal model based adaptive controller design for robot manipulator2 citations · 2024
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