Papers
5
Total Citations
48
H-Index
4
About
Adriano A. Santos is a leading researcher at the forefront of industrial automation, specializing in the integration of collaborative robotics, artificial vision, and deep learning for real-time manufacturing applications. His work centers on enhancing the safety, efficiency, and intelligence of robotic systems, particularly in pick-and-place operations and quality inspection. Santos’s most impactful contribution is the development of a vision-guided collaborative robotic system for object recognition and sorting, detailed in his 2024 paper (18 citations), which demonstrates how fixed-camera setups and neural networks can automate repetitive tasks to reduce workplace injuries. He further advanced this field with a 2025 study (13 citations) on deep learning vision systems for real-time collaborative sorting, showcasing improved productivity and safety. His research also addresses process optimization, as seen in his work on flexible tire painting cells (10 citations) and simulation-based improvements using Fanuc Roboguide software. Notably, Santos has explored computer vision for tire sealant quality inspection, applying simulated robotic dispensing to ensure precision. With a growing citation impact and a focus on bridging theoretical AI with practical robotics, Santos is shaping the next generation of smart, human-safe industrial automation.
Research Focus
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Top Papers
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