Papers
10
Total Citations
742
H-Index
9
About
Hyun Soo Park is a versatile researcher whose work spans bio-inspired robotics, computer vision, and AI-driven advanced manufacturing. His early career made significant strides in biomimetic locomotion, with a series of papers modeling and refining a basilisk lizard-inspired quadruped robot capable of running on water — a remarkable engineering feat that examined complex dynamic challenges including pitch, roll, and amphibious footpad design. This foundational robotics work demonstrated his ability to bridge biological inspiration with rigorous mechanical analysis. Park later expanded into computer vision, developing EgoNet to explore first-person action-object detection — a novel approach leveraging wearable cameras to decode human sensorimotor interactions in real time. His work on surface normal estimation from tilted images further reflects his commitment to advancing perception systems for unconventional camera orientations encountered in real-world deployments. Most recently, Park has made a substantial impact in intelligent fabrication, with his work on AI-assisted 3D printing technologies accumulating 338 citations — his most recognized contribution. His development of 3D printed deformable sensors capable of conforming to live biological surfaces (194 citations) holds particular promise for next-generation biomedical monitoring. Across these diverse domains, Park's research consistently translates cutting-edge theory into tangible, human-centered applications.
Research Focus
Key Achievements
Top Papers
- 1
- 23D printed deformable sensors194 citations · 2020
- 3
- 4First-Person Action-Object Detection with EgoNet44 citations · 2017
- 5Surface Normal Estimation of Tilted Images via Spatial Rectifier32 citations · 2020
- 6
- 7
- 8First Person Action-Object Detection with EgoNet16 citations · 2016
- 9
- 10Surface Normal Estimation of Tilted Images via Spatial Rectifier4 citations · 2020