Xiangying Zhang
Beijing Academy of Artificial Intelligence, Zhejiang University
Papers
2
Total Citations
52
H-Index
2
About
Xiangying Zhang is a leading researcher in robotics and intelligent manufacturing, with a focus on adaptive control, human-robot collaboration, and sustainable remanufacturing. Her seminal 2018 work on an adaptive sliding mode controller for four-Mecanum wheel mobile robots (32 citations) established a foundational framework for precise trajectory tracking in omnidirectional robots, enabling their widespread deployment in dynamic environments like factories and hospitals. More recently, Zhang has pioneered the integration of large language models with Bayesian networks for human-robot collaborative disassembly sequence planning (2025, 20 citations), addressing critical uncertainties in remanufacturing end-of-life products. This innovative approach synergizes robot efficiency with human adaptability, offering a reliable solution to complex disassembly challenges. Her contributions bridge theoretical control design with practical, human-centered automation, advancing both mobile robotics and circular economy practices. With a growing citation impact and a trajectory toward AI-enhanced manufacturing, Zhang’s work is shaping the future of intelligent, sustainable robotic systems.
Research Focus
Key Achievements
Top Papers
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