Papers
1
Total Citations
2
H-Index
1
About
Yi-Chun Chen is a researcher in robotics and control systems, with a focus on autonomous mobile platforms and vision-based navigation. Their most cited work, "Control system of two-wheeled self-balancing handling robot based on vision" (2025, 2 citations), introduces an integrated control architecture for a two-wheeled, self-balancing handling robot. The system leverages a single-chip microcomputer (STM32F103C8T6), gray sensors, motor drives, DC deceleration motors, Bluetooth modules, and an OpenMV camera for vision processing. This design demonstrates Chen’s expertise in combining embedded systems, sensor fusion, and real-time control to achieve stable locomotion and object handling. While their citation count is still growing, the work represents a practical contribution to the field of service robotics, particularly in industrial or logistics applications where compact, agile robots are needed. Chen’s research highlights the potential of low-cost, vision-guided platforms for automated material transport, and their interdisciplinary approach—spanning hardware integration, control algorithms, and computer vision—positions them as an emerging voice in intelligent robotics.
Research Focus
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Top Papers
- 1