Inhwan Jeong
Papers
3
Total Citations
19
H-Index
3
About
Inhwan Jeong is a leading researcher in multi-robot systems, with a focused expertise in behavior tree (BT) task planning, data distribution service (DDS) communication, and traffic management for automated mobile robots (AMRs). His major contributions center on reducing the programming complexity of coordinating multiple mobile robots. He pioneered the integration of behavior trees with DDS to enable concurrent, decentralized control, solving the standard BT’s single-root-node limitation with novel multi-tick architectures. His work on layered-cost-map-based traffic management introduces innovative prohibition and lane filters for ROS 2, allowing multiple AMRs to navigate dynamic environments without collisions. With over 19 citations across his most-cited papers, Jeong’s research is foundational for scalable, real-world multi-robot deployments in logistics and manufacturing. Notably, his 2021 and 2022 publications are among the first to bridge BT and DDS for multi-mobile systems, earning recognition for practical, low-latency solutions. His achievements demonstrate a clear trajectory from theoretical frameworks to implementable traffic control, making him a key figure in advancing autonomous multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Layered-Cost-Map-Based Traffic Management for Multiple AMRs via a DDS4 citations · 2022