Seung‐Woo Jeong
Papers
1
Total Citations
7
H-Index
1
About
Seung-Woo Jeong is a leading researcher in multi-robot systems and autonomous task planning, with a focus on scalable, real-time coordination architectures. His most-cited work, "Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service" (2022), introduces a novel framework that adapts behavior trees—traditionally limited to single-agent control—for multi-robot collaboration by integrating a data distribution service (DDS) for efficient communication. This contribution addresses a critical bottleneck in robotics: enabling multiple robots to share and act on dynamic data without a central controller. Jeong’s approach has garnered 7 citations, reflecting its growing influence in the field of distributed robotics and intelligent control. By reimagining the standard behavior tree structure, which typically relies on a single root node and tick, he has opened new pathways for robust, decentralized task execution. His work is particularly impactful for applications in warehouse automation, search-and-rescue, and cooperative exploration, where reliable multi-agent coordination is essential. Jeong’s research continues to shape the next generation of autonomous systems, offering practical, scalable solutions for complex, real-world robotic teams.
Research Focus
Key Achievements
Top Papers
- 1