Weiming Tang
Papers
3
Total Citations
82
H-Index
2
About
Weiming Tang is a pioneering researcher in robotics and autonomous systems, with a career spanning from foundational control theory to cutting-edge multi-sensor fusion. His early work established robust fuzzy logic control for flexible-joint robot arms, addressing critical challenges in handling system uncertainties. His 2001 paper, "A modified fuzzy PI controller for a flexible-joint robot arm with uncertainties," remains highly influential with 65 citations, while his 1994 foundational study laid the groundwork for stable and unstable linear system control. More recently, Tang has advanced autonomous navigation with his 2025 paper on "Factor Graph-Based Tightly Coupled RTK/INS/LiDAR System With De-Drifting LiDAR Data Association in Urban Areas." This work tackles the pressing need for accurate, continuous positioning in GPS-denied environments, integrating GNSS, inertial navigation, and LiDAR for autonomous driving and mobile robotics. With a research trajectory that bridges classical control theory and modern sensor integration, Tang demonstrates a rare ability to evolve with the field, making lasting contributions to both robotic manipulation and autonomous vehicle localization.
Research Focus
Key Achievements
Top Papers
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