Papers
5
Total Citations
135
H-Index
4
About
Dr. Yujing Xu is a pioneering researcher at the intersection of intelligent control systems and AI-driven scientific discovery. Her work spans two transformative domains: distributed multi-robot coordination and AI-augmented catalysis research. In robotics, Dr. Xu has made fundamental contributions to formation tracking and consensus control for nonholonomic multi-agent systems, developing innovative solutions for connectivity preservation, collision avoidance, and predefined-time convergence—critical advances for autonomous swarm operations. Her most impactful work, however, lies in the emerging field of AI-accelerated catalysis, where her 2024 paper on automation and machine learning augmented by large language models has already garnered 86 citations, signaling a paradigm shift in how catalysts are discovered and designed. This work replaces traditional trial-and-error methods with intelligent, high-throughput digital methodologies. With over 135 total citations across her publications, Dr. Xu’s research demonstrates remarkable breadth—from addressing actuator failures and unknown control directions in uncertain robotic systems to pioneering the use of LLMs for materials science. Her work is essential reading for anyone interested in the future of autonomous systems or AI-driven scientific discovery.
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