Papers
3
Total Citations
52
H-Index
3
About
Xiaodong Lv is a pioneering researcher in the field of robotic microassembly and uncalibrated visual servoing, whose work bridges the gap between macro-scale robotics and the challenging physics of the micro-world. His key research areas include adaptive control systems, computer vision for robotics, and multi-manipulator cooperation. Lv’s major contributions lie in developing intelligent estimation methods that allow robots to operate with minimal prior knowledge. His most influential work, "Fuzzy Adaptive Kalman Filtering based Estimation of Image Jacobian for Uncalibrated Visual Servoing" (2006, 33 citations), introduced a novel approach that combines fuzzy logic controllers with Kalman filters to optimally estimate image Jacobian elements, enabling precise robotic control without requiring detailed system parameters. This innovation is complemented by his foundational work in "Development of A Robotic Microassembly System with Multi-Manipulator Cooperation" (2006, 16 citations), which directly addresses the unique scaling effects and unpredictable microphysics that make 3D microassembly so demanding. Lv’s research has significantly advanced the precision and autonomy of micro-robotic systems, offering practical solutions for high-precision assembly tasks in manufacturing and biomedical applications.
Research Focus
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Top Papers
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