Papers
12
Total Citations
89
H-Index
5
About
Jaebyung Park’s research lies at the intersection of mobile robot safety, computer vision, and human-robot collaboration. His foundational work on turnover prevention for mobile robots on uneven terrain—introducing the concept of stability space—has garnered 18 citations and remains essential for field robotics. Park has also made significant strides in depth estimation from single RGB images using fine-tuned generative adversarial networks (16 citations), enabling robots to understand complex terrain without expensive sensors. His accurate and consistent image-to-image conditional adversarial network (14 citations) further advances terrain analysis and visual representation. In medical robotics, Park’s acceptability study of a tele-assistive robotic nurse (11 citations) explores human-robot collaboration through haptic and voice interfaces. His contributions extend to autonomous welding in shipbuilding, where hand-eye laser range finder methods for plane detection demonstrate practical industrial impact. With over 85 total citations, Park’s work consistently addresses real-world challenges—from slip and tip-over prediction to object recognition—making him a key figure in developing safer, more capable mobile robots for unstructured environments.
Research Focus
Key Achievements
Top Papers
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- 3Accurate and Consistent Image-to-Image Conditional Adversarial Network14 citations · 2020
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- 7Slip and Tip-over Prediction Map for Stable Driving of Mobile Robot3 citations · 2019
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- 10Iterative measurement for precise welding plane detection2 citations · 2013