Sung-Do Chi

University of Arizona, Korea Aerospace University

Papers

Total Citations

H-Index

About

Sung-Do Chi is a pioneering researcher in the field of autonomous systems, with a career focused on integrating artificial intelligence and control theory to create highly independent, intelligent machines. His work centers on developing model-based architectures that allow systems to perceive, reason, and act without human intervention. Chi’s most significant contribution is the concept of "high autonomy," which he defines as the seamless fusion of decision-making (intelligence), sensory processing (perception), and effector control (action) within a unified, model-driven framework. His seminal 1991 dissertation on modelling and simulation for high-autonomy systems laid the groundwork for this integration, while his 2002 paper on model-based architecture concepts (12 citations) remains a key reference for researchers seeking to bridge the gap between AI and control paradigms. Chi also advanced hierarchical model-based diagnosis (11 citations) and task planning for space environments (8 citations), demonstrating the practical application of his theories in domains like space laboratory robotics. Though his citation counts are modest, his work is foundational, offering a clear, structured approach to building autonomous systems that has influenced subsequent generations of engineers and roboticists.