Yuetong Chen
Papers
1
Total Citations
2
H-Index
1
About
Yuetong Chen is a researcher in embedded systems and intelligent robotics, with a focus on microcontroller-based automation and artificial intelligence applications. Their most-cited work, "Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer" (2020, 2 citations), demonstrates a practical contribution to autonomous navigation by developing a smart car capable of patrolling mazes with three branch roads using a 51-series single-chip microcomputer. This project highlights Chen’s ability to integrate hardware and software for real-world problem-solving, particularly in path planning and sensor-driven control. While the citation count is modest, the work underscores Chen’s early-stage impact in educational and experimental robotics, offering a foundation for scalable autonomous systems. Chen’s research bridges theoretical AI concepts with tangible implementations, making their work valuable for students and engineers exploring low-cost, efficient robotic platforms. Their achievements reflect a commitment to advancing intelligent automation in constrained environments, with potential applications in surveillance, logistics, and educational robotics.
Research Focus
Key Achievements
Top Papers
- 1