Shih-Shiun Lin
Papers
2
Total Citations
13
H-Index
2
About
Shih-Shiun Lin is a researcher whose work lies at the intersection of robotics, sensor fusion, and intelligent mapping. His primary contributions focus on enabling autonomous systems to perceive and navigate unknown environments through advanced data processing techniques. Lin’s most cited research, "Map Building of Unknown Environment Based on Fuzzy Sensor Fusion of Ultrasonic Ranging Data," published in 2012 and again in 2014, has garnered a combined 13 citations, establishing a foundation for using fuzzy logic to integrate noisy ultrasonic sensor readings into coherent spatial representations. This approach addresses a critical challenge in robotics: constructing reliable maps from imprecise, low-cost sensors, making autonomous navigation more accessible and robust. By developing methods that handle uncertainty in real-time, Lin has contributed to the broader fields of mobile robotics and intelligent control. His work is particularly notable for its practical application in environments where traditional mapping techniques falter, such as cluttered or dynamic spaces. For students and researchers exploring sensor fusion or autonomous navigation, Lin’s research offers a clear example of how fuzzy logic can bridge the gap between raw sensor data and actionable environmental understanding.
Research Focus
Key Achievements
Top Papers
- 1
- 2