Jinbo Fu

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About

Jinbo Fu is a researcher whose work lies at the intersection of robotics, control theory, and discrete event systems. His primary contributions focus on the optimal control of robot behavior, where he pioneered the use of language measures—a formal, mathematical framework—to synthesize optimal supervisory policies. In his most cited work, "Optimal Control of Robot Behavior Using Language Measure" (2008, 7 citations) and its earlier 2004 counterpart (6 citations), Fu introduced a novel performance index based on the real signed measure of the language generated by supervised robot behavior. This approach enables the synthesis of control policies with polynomial computational complexity, making it both theoretically elegant and practically viable for real-time robotic systems. By framing robot control as a language-measure optimization problem, Fu provided a rigorous foundation for decision-making in discrete event settings. Though his citation counts are modest, his work represents a distinctive, formal contribution to the field—bridging supervisory control theory with autonomous robotics. Researchers interested in formal methods for robot control, particularly those exploring measure-theoretic approaches to behavior synthesis, will find Fu’s work a valuable and underexplored reference.