Wenwu Zhu
Papers
13
Total Citations
176
H-Index
5
About
Wenwu Zhu is a leading researcher in robotics and control systems, specializing in finite-time control, formation control, and path planning for mobile robots and industrial manipulators. His major contributions include developing robust finite-time consensus formation control for nonholonomic wheeled mobile robots, which addresses critical challenges in leader-following structures and output feedback. He has also advanced finite-time output feedback tracking control and bounded integral terminal sliding mode algorithms for industrial robots, significantly improving dynamic performance and position regulation. His work on multi-autonomous mobile robot systems introduces innovative path planning and tracking control algorithms that account for spatiotemporal conflicts and nonholonomic constraints, with recent extensions to deep reinforcement learning for efficient scheduling. Zhu’s research on sensorless joint torque estimation using Lyapunov-based sliding-mode observers reduces reliance on costly force sensors, while his image-based fast finite-time target tracking control enhances onboard camera stability for mobile robots. With over 170 citations across his top papers, his impact is evident in both theoretical advancements and practical applications, including climbing robots for power transmission tower inspection. His achievements demonstrate a consistent focus on real-time, robust, and efficient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7Deep Reinforcement Learning-based Multi-AMR Path Planning Algorithm4 citations · 2023
- 8
- 9Research on Small Quadruped Climbing Robot for Power Transmission Tower2 citations · 2023
- 10