Jiwoo Kim

Ph.D. student at FAIR Lab, KAIST. I work on making robots perceive and reason reliably in the real world — through robust estimation, optimization, and spatial perception. The core question I keep returning to: how do we build systems that remain trustworthy when reality refuses to follow the model?

Affiliation

FAIR Lab @ KAIST

Stage

Ph.D. Student

Location

Seoul, South Korea

Research Direction

My work sits at the intersection of robust estimation, optimization, and spatial perception for robotic systems. I am especially drawn to methods that remain correct even when a significant fraction of sensor data is corrupted — outlier rejection, non-convex optimization, and the theory behind why some solvers succeed where others fail.

Writing

논문 리뷰, 수식 유도, 연구하면서 기록하고 싶은 아이디어들을 정리합니다. 모든 포스트는 한국어로 작성됩니다.