Hunmin Kim

Pennsylvania State University, University of Illinois Urbana-Champaign, Mercer University Health Sciences Center

Papers

Total Citations

H-Index

About

Hunmin Kim is a leading researcher at the intersection of cyber-physical systems, robotics, and control theory, with a primary focus on ensuring the safety and security of autonomous mobile robots. His most impactful work, "RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots" (49 citations), established a foundational framework for detecting cyberattacks that threaten robotic platforms by exploiting the tight coupling between their computational and physical layers. Kim further advanced this field by developing attack-resilient estimation algorithms for systems with input and state constraints (16 citations), and by demonstrating how to exploit physical dynamics to detect both sensor and actuator attacks in mobile robots (16 citations). More recently, his work on "Path Integral Methods with Stochastic Control Barrier Functions" (14 citations) has pushed the boundaries of safe control design, addressing the challenge of ensuring safety in nonlinear robotic systems operating under stochastic noise. Through these contributions, Kim has become a key figure in developing the theoretical and practical tools needed to protect increasingly autonomous systems from sophisticated cyber-physical threats.