Junwei Gao
Papers
3
Total Citations
33
H-Index
3
About
Junwei Gao is a robotics researcher whose work focuses on intelligent control systems, multi-agent coordination, and computer vision for autonomous underwater and mobile robots. His most notable contribution is a novel method for robot fish detection that combines three-frame-difference with background subtraction, achieving rapid and accurate moving-target identification in aquatic environments (18 citations). Gao also advanced formation control for multiple robot fishes by integrating artificial potential fields with a leader-follower framework, effectively solving collision avoidance challenges that plagued earlier approaches (12 citations). In mobile robotics, he designed a laser-navigation control system using EPOS motion controllers and backstepping algorithms, significantly improving positioning accuracy for wall-following tasks (3 citations). Gao’s work bridges practical engineering and theoretical control, with applications in environmental monitoring, underwater exploration, and autonomous navigation. His research demonstrates a consistent focus on real-time, robust solutions for dynamic and constrained environments, making him a contributor to the growing field of bio-inspired and multi-robot systems.
Research Focus
Key Achievements
Top Papers
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