Rongfu Lan

Papers

Total Citations

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About

Rongfu Lan is a researcher specializing in multi-robot systems, with a particular focus on underwater and swarm robotics. Their work centers on formation control—a critical technology for tasks such as underwater searching, exploration, and coordinated autonomous operations. Lan’s major contributions include developing a leader-follower formation model for underactuated autonomous underwater vehicles (AUVs), addressing the complex kinematics and dynamics of these robots to enable stable, cooperative movement. In the realm of swarm robotics, Lan designed a vision-guided formation control system that integrates the Hungarian algorithm for optimal task assignment and a consensus algorithm for efficient path planning. This work ensures accurate and scalable formation control, even in dynamic environments. While their most-cited papers have garnered modest citation counts of 4 and 3 respectively, the foundational nature of this research is significant for advancing practical applications in underwater search, environmental monitoring, and multi-robot coordination. Lan’s contributions provide essential building blocks for future work in autonomous underwater and swarm robotic systems, offering both theoretical frameworks and algorithmic solutions for real-world deployment.