Yi-Fan Chung
Papers
2
Total Citations
8
H-Index
2
About
Yi-Fan Chung has made significant contributions to the fields of multi-agent systems and robotics, with a particular focus on distributed control and humanoid robot coordination. Their most cited work, "Distributed dynamic containment control over a strongly connected and weight-balanced digraph" (2019, 6 citations), introduces a novel solution for mobile agents to track the convex hull formed by moving leaders with unknown dynamics—a critical advancement for autonomous swarm operations. This research addresses fundamental challenges in communication topology, leveraging strongly connected and weight-balanced digraphs to ensure robust, decentralized coordination. Chung’s earlier work, "Fuzzy Basketball Throwing Strength Control System for Vision-Based Humanoid Robot" (2013, 2 citations), demonstrates their versatility by applying fuzzy logic to enhance robotic precision in dynamic environments. While their citation counts reflect a growing impact, these papers highlight Chung’s ability to bridge theoretical control theory with practical robotic applications. Their work is particularly valuable for researchers exploring distributed intelligence, autonomous systems, and human-robot interaction, offering foundational insights into scalable, adaptive control strategies for complex multi-agent networks.
Research Focus
Key Achievements
Top Papers
- 1
- 2