Papers
4
Total Citations
52
H-Index
3
About
Yago M. R. da Silva is a researcher at the forefront of autonomous systems, specializing in computer vision, unmanned aerial vehicles (UAVs), and human-robot collaboration. His work primarily addresses real-world challenges in industrial inspection and logistics, with a strong focus on the Oil & Gas sector. Silva’s most impactful contribution is a computer vision-based path-following system for autonomous UAVs used in onshore pipeline inspection, which has garnered 32 citations and demonstrates how drones can safely and efficiently cover large areas while reducing human risk. He further advanced this field with an autonomous path-following UAV for pipe inspection tasks. In collaborative robotics, Silva developed an obstacle avoidance technique for mobile robots in warehouse environments, integrating fuzzy logic with convolutional neural networks (CNNs) to improve safety and efficiency in human-robot collaborative tasks. His work also extends to agricultural monitoring, where he explored YOLO-based insect detection using small multirotor UAVs. Through these contributions, Silva is shaping the next generation of intelligent, autonomous systems that operate safely alongside humans in complex, real-world settings.
Research Focus
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Top Papers
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- 4Autonomous Path Follow UAV to Assist Onshore Pipe Inspection Tasks2 citations · 2022