Papers
3
Total Citations
45
H-Index
3
About
Ukcheol Shin is a robotics researcher whose work bridges computer vision, autonomous navigation, and resilient robotic systems. His key research areas include robust perception for robots in challenging environments, adaptive camera control, and fault-tolerant locomotion. Shin's most notable contribution is a noise-aware exposure control algorithm that optimizes image quality for robot vision, enabling better performance in downstream tasks like object detection and mapping—work that has earned 32 citations. He has also advanced quadrupedal robotics by developing a random joint masking technique that allows legged robots to maintain locomotion even when joints are impaired, a critical step toward more resilient field robots. More recently, Shin introduced FIReStereo, the first large-scale thermal infrared stereo dataset for uncrewed aerial systems, addressing the critical gap in depth perception under visually degraded conditions like smoke, fog, or darkness. This work, published in 2025, is already gaining traction for its potential to enable all-weather autonomous flight. Through these contributions, Shin is shaping the future of robots that can see clearly and move reliably when conditions are at their worst.
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