Papers
23
Total Citations
451
H-Index
10
About
Ting Zou is a leading researcher in robotics and autonomous systems, with a focus on intelligent control, motion planning, and computer vision for mobile robots. Her major contributions span trajectory tracking for differential mobile robots using fuzzy sliding mode control (129 citations), neural network-based solutions to inverse kinematics for six-axis robots (50 citations), and risk-aware path planning for autonomous underwater vehicles in hazardous environments (38 citations). She has also advanced vision-guided navigation for automated guided vehicles under complex illumination (36 and 21 citations) and developed low-cost soft robotic fish with biomimetic swimming performance (14 citations). Her work is highly impactful, with several papers receiving widespread attention for addressing critical challenges in robot control, path planning, and sensing. Notably, her research on coordinated path tracking for heavy-duty robotic vehicles (29 citations) and surveys on off-road mobile robots (19 citations) demonstrate her breadth in both theoretical and applied robotics. Ting Zou’s contributions are essential for advancing autonomous navigation in challenging, real-world environments.
Research Focus
Key Achievements
Top Papers
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- 5A Review of Locomotion, Control, and Implementation of Robot Fish35 citations · 2022
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