Rodrigo Mattos da Silva
Papers
2
Total Citations
32
H-Index
2
About
Rodrigo Mattos da Silva is a robotics researcher whose work bridges computer vision and control systems for autonomous mobile robots. His key contributions lie in evaluating and comparing state-of-the-art algorithms for real-world robotic applications. In his most cited work, "Comparison of the YOLOv3 and SSD MobileNet v2 Algorithms for Identifying Objects in Images from an Indoor Robotics Dataset" (2021, 21 citations), Silva systematically benchmarked two leading object detection frameworks, providing critical insights into their trade-offs in speed and accuracy for indoor robotic perception. This study has become a valuable reference for practitioners selecting vision algorithms for resource-constrained platforms. His second major work, "Comparison of a Backstepping and a Fuzzy Controller for Tracking a Trajectory with a Mobile Robot" (2019, 11 citations), demonstrates his expertise in motion control, comparing classical and intelligent control strategies for precise trajectory tracking. By offering clear, empirical comparisons of competing methodologies, Silva helps the robotics community make informed design decisions, advancing the practical deployment of autonomous systems in indoor environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2