Ming-Chih Lu
Papers
6
Total Citations
65
H-Index
5
About
Ming-Chih Lu is a researcher specializing in robotics, computer vision, and intelligent systems, with a focus on autonomous navigation and measurement technologies. His major contributions lie in developing innovative methods for distance and angle measurement using CCD images, as well as optimal path planning for mobile robots. His most cited work, "Distance and Angle Measurement of Objects on an Oblique Plane Based on Pixel Number Variation of CCD Images" (2011), has garnered 29 citations, demonstrating its impact on image-based metrology. Lu also advanced mobile robotics through hybrid path planning algorithms that integrate global and local search mechanisms, as seen in his 2012 paper with 11 citations. His research extends to sensor fusion for map building in unknown environments and machine-vision-based obstacle avoidance systems. Notably, Lu explored practical applications such as using small remote-controlled robots for traffic accident recording, combining Bluetooth communication for data transfer. With a portfolio of papers spanning from 2007 to 2013, Lu’s work bridges theoretical algorithms and real-world robotic systems, making him a notable contributor to the fields of autonomous navigation and vision-based measurement.
Research Focus
Key Achievements
Top Papers
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- 5Image- and Robot-Based Distance and Area Measuring Method5 citations · 2007
- 6Machine-vision based obstacle avoidance system for robot system4 citations · 2013