Ilisio Viana
Papers
1
Total Citations
12
H-Index
1
About
Ilisio Viana is a researcher whose work sits at the intersection of computer vision, robotics, and industrial automation. His primary contributions focus on bridging the gap between digital models and real-world perception, particularly for complex, high-stakes environments. His most cited work, "Matching CAD Model and Image Features for Robot Navigation and Inspection of an Aircraft" (2016), has garnered 12 citations and demonstrates a practical, systems-level approach to enabling robots to navigate and inspect large-scale structures using pre-existing CAD data. This research is critical for advancing autonomous maintenance and quality control in aerospace and manufacturing, where precision and reliability are paramount. Viana’s work is notable for its direct industrial applicability, offering a method to reduce the computational burden of real-time scene understanding by leveraging known geometric models. While his citation count reflects a focused, emerging impact, his contributions are significant for researchers and engineers developing robust, model-based robotic systems for inspection and navigation in challenging, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1