Papers
12
Total Citations
192
H-Index
9
About
Hanwool Woo’s research bridges robotics, sensing, and safety across two challenging domains: nuclear radiation mapping and underwater 3D reconstruction. His pioneering work on 3D radiation imaging—using mobile robots equipped with gamma-ray detectors to reconstruct source distributions from multiple viewpoints—has earned 41 citations and directly addresses critical needs in nuclear safety and security. In underwater robotics, Woo introduced an acoustic camera-based pose graph SLAM framework that enables dense 3D mapping in visually degraded environments, with 37 citations for its impact on autonomous underwater construction. He further advanced radiation source localization through principal component analysis-based path planning (19 citations). Woo’s contributions extend to socially aware navigation, where he applied deep reinforcement learning with resilient reward functions to enable robots to navigate human crowds safely and compliantly (17 citations). His work also includes pedestrian trajectory prediction using BiRNN encoder-decoder models (14 citations) and novel applications like mallard-navigation robots for eco-friendly rice-duck farming (13 citations). With over 185 total citations across his most-cited papers, Woo’s research demonstrates a rare versatility—from nuclear safety to underwater mapping to human-robot interaction—making him a standout figure in field robotics.
Research Focus
Key Achievements
Top Papers
- 13D radiation imaging using mobile robot equipped with radiation detector41 citations · 2017
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- 6Pedestrian trajectory prediction using BiRNN encoder–decoder framework14 citations · 2019
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- 8Smartphone Zombie Detection From LiDAR Point Cloud for Mobile Robot Safety12 citations · 2020
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