Yaoyao Tan
Papers
1
Total Citations
3
H-Index
1
About
Yaoyao Tan is an emerging researcher in the field of robotics and intelligent control systems, with a primary focus on trajectory tracking and motion planning for mobile robots. Their most cited work, "Trajectory Tracking Control of Differential Steering Mobile Robot Based on Fuzzy Logic under Time Constraints" (2021), addresses a fundamental challenge in autonomous navigation: enabling differential steering robots to accurately follow planned paths by coordinating wheel speeds under strict temporal constraints. By integrating fuzzy logic control with time-bound trajectory planning, Tan has contributed practical solutions for improving robot precision and adaptability in real-world applications. Although early in their career, with this paper garnering 3 citations, Tan's work demonstrates a clear commitment to bridging theoretical control methods with applied robotics. Their research holds particular relevance for students and engineers working on autonomous vehicles, warehouse logistics, or service robots, where efficient and accurate path following is critical. As Tan continues to develop their portfolio, their contributions to fuzzy logic-based control and time-constrained navigation represent a solid foundation for future advances in intelligent mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1