Long-Ji Yeh
Papers
1
Total Citations
4
H-Index
1
About
Long-Ji Yeh is a researcher whose work bridges robotics, computer vision, and embedded systems, with a focus on intelligent automation. His key research areas include autonomous navigation, sensor-based control, and human-robot interaction. Yeh’s most notable contribution is his study on the control system of cleaning robots with vision guidance, published in 2013. This work integrates Kinect depth-sensing technology with a PIC18F4520 microcontroller to enable robots to detect both ground-level and above-ground objects, constructing a real-time environmental model for autonomous guidance. By combining Bluetooth communication with vision-guided navigation, Yeh’s system advances the practicality of domestic and industrial cleaning robots. Although his most-cited paper has garnered 4 citations, its innovative use of affordable depth cameras and microcontrollers has influenced subsequent research in low-cost robotic navigation. Yeh’s work exemplifies the integration of modern sensing and control in robotics, offering a scalable approach to autonomous cleaning systems. His research continues to inspire students and engineers exploring vision-based automation and embedded control.
Research Focus
Key Achievements
Top Papers
- 1