Shuoyu Yue
Papers
1
Total Citations
5
H-Index
1
About
Shuoyu Yue is a rising researcher in robotics and multi-agent systems, with a focus on decentralized coordination and swarm intelligence. Their most-cited work, "Concurrent-Learning Based Relative Localization in Shape Formation of Robot Swarms" (2025, 5 citations), tackles a critical challenge in massive robot swarms: achieving precise shape formation without external localization systems. Yue’s major contribution lies in developing a concurrent-learning framework that enables robots to rely solely on onboard measurements for relative localization, overcoming practical hurdles in GPS-denied or infrastructure-limited environments. This work advances the field of swarm robotics by making autonomous shape formation more robust and scalable for real-world applications like search-and-rescue, environmental monitoring, and distributed sensing. Yue’s research bridges theoretical control methods with practical deployment, offering a novel solution to a long-standing problem in multi-robot coordination. As an emerging scholar, Yue’s work is already gaining attention for its potential to transform how swarms operate in unstructured settings, laying groundwork for future innovations in autonomous collective behavior.
Research Focus
Key Achievements
Top Papers
- 1