Zhifan Quan
Papers
1
Total Citations
2
H-Index
1
About
Zhifan Quan is a researcher in robotics and control systems, with a primary focus on the design and implementation of balancing robots and embedded control algorithms. Their major contribution lies in advancing the practical application of sensor fusion techniques, particularly through the development of a second-order complementary filtering algorithm for stabilizing two-wheeled balancing robots. This work, detailed in their most-cited paper "Design of a Balanced Robot Based on Second-Order Complementary Filtering Algorithm" (2023, 2 citations), demonstrates a complete pipeline from hardware platform construction using the STM32F407 microcontroller to software programming and experimental validation. The research addresses critical challenges in real-time attitude estimation and motor control, offering a robust, low-cost solution for autonomous balancing systems. Though early in their career, Quan's work represents a significant step toward more accessible and efficient robotic platforms, with potential applications in education, service robotics, and autonomous vehicles. Their approach to integrating complementary filtering with embedded systems showcases a practical engineering mindset, laying groundwork for future innovations in mobile robotics and control theory.
Research Focus
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Top Papers
- 1