Papers
3
Total Citations
17
H-Index
3
About
Longjie Yin is a researcher specializing in the control and stabilization of nonholonomic mobile robots, with a particular focus on vision-based systems. His work addresses the complex challenge of integrating visual feedback with robust control strategies to manage parametric uncertainties in robot kinematics, dynamics, and actuation. Yin’s major contributions include the development of adaptive dynamic surface control, sliding-mode control, and predictive control methods for visual servo stabilization. His most cited paper, “Adaptive dynamic surface control for vision-based stabilization of an uncertain electrically driven nonholonomic mobile robot” (2014), has garnered 7 citations, demonstrating its influence in the field. Additional notable works, such as his 2013 paper on integrating sliding-mode and adaptive approaches (6 citations) and his predictive control study (4 citations), further highlight his systematic approach to enhancing robot autonomy and precision. Yin’s research is particularly valuable for applications in autonomous navigation and industrial robotics, where reliable visual servoing is critical. His work continues to inspire advancements in adaptive and robust control for mobile robots operating under uncertainty.
Research Focus
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