Weiqun Cao

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About

Weiqun Cao is a leading researcher in mobile robotics, specializing in trajectory tracking control for wheeled mobile robots operating on challenging, rough, and uneven terrain. His work addresses a critical gap in autonomous navigation: ensuring precise and stable movement when standard control methods fail on non-ideal surfaces. Cao’s most influential contribution, "Trajectory tracking control for a wheel mobile robot on rough and uneven ground" (2022), has garnered 49 citations, establishing a foundational approach for robust off-road robot locomotion. He further advanced this field with "Adaptive dual closed-loop trajectory tracking control for a wheeled mobile robot on rough ground" (2024, 13 citations), introducing an adaptive dual closed-loop system that enhances real-time stability and accuracy under variable ground conditions. By integrating adaptive control strategies with closed-loop feedback, Cao’s research directly improves the reliability of autonomous ground vehicles in agriculture, search-and-rescue, and planetary exploration. His work is widely recognized for its practical impact, offering scalable solutions for robots operating beyond structured environments. For students and researchers, Cao’s contributions provide essential frameworks for designing resilient control systems in mobile robotics.