Shizhan Wang
Papers
3
Total Citations
67
H-Index
3
About
Shizhan Wang is a leading researcher in the field of mobile robotics, with a primary focus on advanced trajectory tracking and motion control for wheeled mobile robots operating in complex, real-world environments. Wang’s major contributions lie in developing robust control strategies that address the critical challenges of external disturbances and obstacle avoidance. Notably, Wang pioneered the use of a double closed-loop strategy for robots with omnidirectional wheels on uneven ground, enabling smoother turns despite terrain-induced disruptions—work that has garnered 44 citations. Further advancing the field, Wang has applied nonlinear model predictive control (MPC) schemes, including a polytopic linear differential inclusion (PLDI)-based method, to achieve precise trajectory tracking while incorporating disturbance compensation and obstacle navigation. With a growing body of work accumulating over 67 citations, Wang’s research is instrumental in bridging the gap between theoretical control algorithms and practical deployment in unstructured settings. These achievements position Wang as a key innovator in autonomous navigation, whose work directly informs the next generation of agile, resilient mobile robots for applications ranging from logistics to field exploration.
Research Focus
Key Achievements
Top Papers
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