Walber M. Rodrigues
Papers
1
Total Citations
5
H-Index
1
About
Walber M. Rodrigues is a researcher at the forefront of real-time embedded computer vision and autonomous robotics, with a primary focus on advancing perception systems for competitive robotic soccer. His most-cited work, "Dataset and Benchmarking of Real-Time Embedded Object Detection for RoboCup SSL" (2022), has garnered 5 citations and stands as a foundational contribution to the RoboCup Small Size League (SSL) community. In this study, Rodrigues introduced a novel dataset and rigorous benchmarking framework specifically designed for embedded object detection in high-speed, resource-constrained environments—a critical challenge for real-time robot decision-making. By systematically evaluating state-of-the-art deep learning models on low-power hardware, his work provides essential guidelines for deploying efficient vision pipelines in dynamic, multi-agent settings. This contribution not only accelerates the development of more agile and perceptive SSL robots but also offers transferable insights for broader embedded AI applications, such as autonomous drones and industrial inspection. Rodrigues’s research exemplifies how targeted, high-impact engineering can push the boundaries of what is possible in real-time autonomous systems, making him a key figure in the intersection of computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1