Jongwoo Kim

Papers

Total Citations

113

H-Index

About

Jongwoo Kim is a robotics researcher whose work sits at the intersection of motion planning, control systems verification, and autonomous robotics. He is best known for his pioneering contributions to the application of rapidly exploring random tree (RRT) algorithms as tools for testing and validating complex robotic control systems — a creative departure from their traditional use in path planning. His most cited work, "Adaptive RRTs for Validating Hybrid Robotic Control Systems" (2005, 67 citations), established a compelling framework for uncovering system failures by systematically exploring adversarial inputs and disturbances. This line of inquiry extended into multi-agent settings through his sampling-based testing methodology (2006, 21 citations), broadening the scope of automated validation techniques. Kim also made notable contributions to aerial robotics, designing and verifying feedback control algorithms for outdoor robotic airships — addressing the practical challenges of low-cost, low-noise autonomous flight (2004, 25 citations). Collectively, his research has shaped how the robotics community approaches the critical but often underappreciated challenge of rigorously validating autonomous systems before real-world deployment, influencing both theoretical frameworks and practical engineering workflows.