Seungwoo Jeong

Daewoo Shipbuilding and Marine Engineering (South Korea), Yonsei University

Papers

Total Citations

H-Index

About

Seungwoo Jeong’s research bridges the critical gap between human augmentation and autonomous multi-robot coordination, with a focus on industrial applications. His foundational work on wearable robots for shipbuilding demonstrates how exoskeletons can be engineered to handle heavy payloads—up to 23 citations for his 2014 study on electric and electro-hydraulic actuation systems. He further refined this technology by developing sub-link attachments that maintain lifting capacity even during knee flexion, a breakthrough for tasks like squatting while holding weights. Shifting to multi-robot systems, Jeong pioneered the use of behavior trees (BT) combined with Data Distribution Service (DDS) to simplify programming for fleets of mobile robots, achieving 8 citations. His layered-cost-map approach for traffic management of multiple automated mobile robots (AMRs) in ROS 2 introduced novel prohibition and lane filters, enabling safe, efficient coordination in shared workspaces. With over 40 total citations, Jeong’s dual expertise in wearable robotics and multi-agent systems positions him as a key innovator in industrial automation—his work not only reduces physical strain on workers but also enables scalable, intelligent robot teams for complex manufacturing environments.