Papers
9
Total Citations
190
H-Index
5
About
Jongwon Seo is a leading researcher in construction robotics and automation, with a focus on intelligent excavation systems and unmanned rescue operations. His most influential work, "Task planner design for an automated excavation system" (2011, 90 citations), established foundational methods for autonomous earthmoving equipment, addressing critical challenges in productivity and safety. Seo’s research spans task planning, modular data communication, and graphical control interfaces for heavy machinery in unstructured environments like construction sites and disaster zones. Notably, his 2021 study on detecting disaster victims using multi-copter drones with thermographic cameras and SSD-based object recognition (32 citations) demonstrates a life-saving application of robotics, enabling rapid victim location in collapsed buildings where human access is perilous. His earlier work on graphical control interfaces (2000, 19 citations) improved operator feedback for construction and maintenance equipment, reducing accidents and enhancing efficiency. Seo has also contributed to tele-robotic systems for hazardous environments, such as boiler hopper maintenance in power plants. With a career spanning over two decades, his research has directly influenced the development of safer, more autonomous construction machinery, earning recognition in both academic and industrial sectors. His work continues to shape the future of intelligent construction and disaster response robotics.
Research Focus
Key Achievements
Top Papers
- 1Task planner design for an automated excavation system90 citations · 2011
- 2
- 3Modular data communication methods for a robotic excavator31 citations · 2018
- 4Graphical Control Interface for Construction and Maintenance Equipment19 citations · 2000
- 5
- 6Task Planner for Autonomous Excavator Considering Work Environment4 citations · 2011
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- 9