Xingli Huang

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About

Xingli Huang has made foundational contributions to the modeling and control of cooperative multi-robot systems, with a particular focus on integrating fuzzy logic and temporal reasoning into Petri net frameworks. Their key research areas include multi-agent systems, robotics coordination, and formal modeling methods for distributed automation. Huang’s most notable work introduces the Fuzzy Timed Agent Based Petri Nets (FTAPN), an extension of fuzzy timed object-oriented Petri nets that enables both structural and dynamic representation of cooperative behaviors among robots operating under uncertainty and time constraints. This work, though early in its citation history with 3 citations, lays important groundwork for bridging agent-based modeling with fuzzy temporal logic—a niche but critical step toward more adaptive and intelligent robotic teams. Huang’s contributions are especially relevant for researchers exploring real-time coordination in manufacturing, swarm robotics, and autonomous systems. By advancing formal tools for modeling complex interactions, Huang has helped pave the way for more robust and flexible multi-robot architectures, making their work a valuable reference for those entering the field of cooperative robotics and intelligent control.