Dr. Seungwoo Jeong | Robotics SLAM | Research Excellence Award
Korea Railroad Research Institute | South Korea
Dr. Seungwoo Jeong is a Machine Learning and Control Engineering specialist with strong expertise in robotics, automation, and intelligent transportation systems. He has extensive research and industry experience, contributing to advanced logistics, factory automation, and robot R&D projects that improved efficiency, safety, Robotics SLAM and system reliability. He has published widely in leading mechanical engineering journals and has led projects reducing error rates and operational costs. He holds a PhD in Mechanical Engineering from Yonsei University, with prior graduate training from the University of California, Davis, and Ajou University.
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Featured Publications
The experiments of wearable robot for carrying heavy-weight objects of shipbuilding works
– IEEE International Conference on Automation Science and Engineering, 2014
Behavior tree driven multi-mobile robots via data distribution service (DDS)
– International Conference on Control, Automation and Systems (ICCAS), 2021
Behavior tree-based task planning for multiple mobile robots using a data distribution service
– IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022
Attaching sub-links on linear actuators of wearable robots for payload increase
– IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2014
Layered-cost-map-based traffic management for multiple AMRs via a DDS
– Applied Sciences, 12(16), 8084, 2022