Max Robotics — Global Service Robot Directory + US Certification

About

Seung Chung is a researcher specializing in model-based programming, autonomous systems, and fault diagnosis for robotic spacecraft and embedded systems. Working primarily within the context of NASA's Jet Propulsion Laboratory missions, Chung has made foundational contributions to how complex robotic systems are programmed, monitored, and validated in deep space environments. His most influential work, "Model-based programming of intelligent embedded systems and robotic space explorers" (2003, 187 citations), established a paradigm for reasoning through intricate sensor-actuator-processor interactions in embedded systems, significantly reducing the engineering burden of programming autonomous robots. Complementing this, his 2001 paper on mode estimation (45 citations) advanced deductive monitoring techniques essential for managing the sophisticated behaviors of robotic networks, including NASA's deep space probes. In later years, Chung shifted focus toward assuring the reliability and correctness of model-based fault diagnosis systems, addressing the growing need for onboard autonomy in spacecraft facing dynamic environments and unexpected failures. His work on the Mars Science Laboratory further reflects his breadth, contributing to organic contamination analysis aboard the Curiosity rover. Across his career, Chung's research has meaningfully shaped how humanity builds, monitors, and trusts autonomous systems operating in some of the most challenging environments imaginable.