Papers
7
Total Citations
36
H-Index
4
About
Bin Xing is a robotics and control systems researcher whose work centers on mobile robot dynamics, intelligent control strategies, and robotic manipulation. He is perhaps best known for his sustained investigation into two-wheeled self-balancing robots, having developed dynamic models using both Appell and Lagrange equations and designed sophisticated sliding mode controllers to govern balance and directional subsystems independently. His 2016 paper on this topic has garnered 16 citations, making it his most influential contribution and a meaningful reference point for researchers tackling underactuated robotic systems. Beyond balancing robots, Xing has extended his expertise into manipulator kinematics, applying the M-D-H method to the AUBO-I5 industrial arm for trajectory planning, as well as autonomous navigation, where he integrated RGB-D SLAM with pedestrian trajectory prediction to enable safer mobile robot path planning. His more applied work includes a machine vision-based system for automated cigarette packet stacking, demonstrating a practical engineering sensibility alongside his theoretical contributions. Across his body of work, Xing consistently bridges rigorous mathematical modeling with real-world robotic implementation, making his research valuable for students and engineers working at the intersection of control theory, computer vision, and autonomous systems.
Research Focus
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