Papers
3
Total Citations
81
H-Index
3
About
Xuan Xia is a pioneering researcher at the intersection of robotics, tactile perception, and agricultural automation. Their most impactful work, "Machine Learning for Tactile Perception: Advancements, Challenges, and Opportunities" (2023), has garnered 64 citations and provides a comprehensive roadmap for integrating machine learning with tactile sensors—a critical enabler for dexterous robotic manipulation and human-robot interaction. In agricultural robotics, Xia introduced UniStemNet (2020), a unified convolutional neural network model that achieves real-time crop recognition and stem localization through cross-task feature fusion, directly addressing the bottleneck in robotic mechanical weed control. More recently, Xia has advanced multi-robot coordination with a game theory and particle swarm optimization hybrid method (2025) for collaborative 3D path planning. With a research portfolio spanning tactile data processing, precision agriculture, and multi-agent systems, Xia’s work bridges fundamental sensor science with practical field applications. Their contributions are shaping the next generation of intelligent robots capable of nuanced physical interaction and autonomous operation in unstructured environments.
Research Focus
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