Yuhan Cao
Papers
2
Total Citations
6
H-Index
2
About
Yuhan Cao is a rising researcher in the field of robotics and control systems, with a focus on trajectory tracking and robust control for specialized robotic platforms. Their work addresses critical challenges in non-holonomic wheeled robots and power-line inspection (PLI) robots, particularly under conditions of unknown parameters, external disturbances, and input delays. Cao’s major contributions include the development of a backstepping adaptive PI controller for precise trajectory tracking in wheeled mobile robots, and an adaptive super-twisting sliding mode control (AST-SMC) for finite-time stabilization of underactuated PLI robots with multiple equilibria. These innovations enhance the reliability and autonomy of robots in real-world applications, such as infrastructure inspection. While their most-cited papers have garnered 4 and 2 citations respectively, the work is notable for its theoretical rigor and practical relevance, offering solutions to complex nonlinear dynamics and control challenges. Cao’s research is particularly valuable for students and engineers interested in advanced control strategies for mobile and inspection robots, bridging the gap between theoretical control design and real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2