About

Chun‐Yu Chen is a robotics researcher whose work centers on multi-agent systems, autonomous navigation, and visual perception. His key contributions lie in developing distributed control strategies for multiple mobile robots and autonomous underwater vehicles (AUVs). Notably, his 2014 paper on "Distributed formation tracking control of multiple mobile robotic systems" (6 citations) introduced a virtual leader-follower framework using chained-form systems and cascaded control theory to achieve precise formation tracking. This work was complemented by his 2014 study on adaptive control for leader-following consensus under parameter uncertainties (3 citations), which applied Laplacian communication topologies to wheeled mobile robots. In 2019, Chen advanced multi-AUG deployment with a parallel genetic algorithm for path-planning that avoids upstream currents (6 citations), addressing a critical challenge in underwater robotics. More recently, his 2020 survey on visual place recognition (2 citations) highlighted the gap between machine vision and human performance in place recognition, emphasizing the need for robust image descriptors. With a total of 17 citations across his most-cited works, Chen’s research bridges theoretical control design with practical robotic applications, offering valuable insights for students and researchers in distributed robotics and autonomous systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
17
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A parallel genetic approach to path-planning with upstream-current avoidance for multi-AUG deployment
6 citations · 2019
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: National Kaohsiung Normal University, The University of Texas Rio Grande Valley, South China University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago