Papers

1

Total Citations

11

H-Index

1

About

Jeng-Han Li is a researcher in robotics and embedded systems, with a focus on computer vision and autonomous navigation. His most-cited work, "Line Tracking with Pixy Cameras on a Wheeled Robot Prototype" (2018, 11 citations), introduces an algorithm that integrates an Arduino controller with a Pixy camera to enable line tracking and object recognition on a differential-driven wheeled robot. This contribution demonstrates a practical, low-cost approach to implementing vision-based control in industrial applications, bridging the gap between theoretical algorithms and real-world robotic systems. Li’s research emphasizes the synergy between hardware and software, offering scalable solutions for automated guidance and object detection. His work has been cited by peers exploring similar embedded vision systems, highlighting its relevance in educational and prototyping contexts. By combining accessible components with robust algorithms, Li advances the field of mobile robotics, making autonomous navigation more attainable for researchers and engineers. His contributions underscore the potential of compact, efficient systems in transforming industrial automation and robotic design.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Line Tracking with Pixy Cameras on a Wheeled Robot Prototype
11 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Southern Taiwan University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago