Xiangling Zhang

Beijing Normal University, Beijing Institute of Education, China Automotive Technology and Research Center

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About

Xiangling Zhang is a pioneering researcher at the intersection of artificial intelligence, robotics, and engineering education. Her work centers on developing intelligent, interactive systems to transform how students and machines learn and operate. Zhang’s most impactful contribution is her 2020 study on an AI-based virtual simulation experimental teaching system for space engineering, which has garnered 22 citations. This work introduced a novel Soft K-Means Fuzzy Clustering approach within the cognitive Internet of Things, laying a foundation for next-generation human-computer interaction in specialized fields. She has since advanced the practical application of educational technology, exploring how educational robots can enhance learning and how conversational agents can deliver personalized tutoring. Demonstrating a deep technical expertise in robotics, Zhang also addresses core control challenges, as seen in her recent work on a fuzzy PID controller based on the TD3 algorithm for precise wheeled mobile robot trajectory tracking. By bridging high-level pedagogical design with low-level robotic control, Zhang is shaping the future of both automated education and intelligent autonomous systems.