Roberto Fernandes

Papers

Total Citations

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About

Roberto Fernandes is a robotics researcher focused on advancing autonomy and control in the RoboCup Small Size League (SSL). His work centers on real-time embedded object detection, autonomous robot design, and low-level control of omnidirectional mobile robots—key areas for high-speed, dynamic robotic soccer. Fernandes’s most cited paper, “Dataset and Benchmarking of Real-Time Embedded Object Detection for RoboCup SSL” (2022, 5 citations), provides a critical resource for evaluating detection algorithms in competitive settings. In “Towards an Autonomous RoboCup Small Size League Robot” (2022, 4 citations), he addresses the league’s push for greater robot independence by overcoming limitations of standard vision systems. His third notable work, “A Telemetry-Based PI Tuning Strategy for Low-Level Control of an Omnidirectional Mobile Robot” (2022, 2 citations), introduces a practical method for fine-tuning motion control in fast-paced environments. Though early in his career, Fernandes’s contributions are already shaping the evolution of SSL robotics, offering benchmarks and strategies that enable more capable, autonomous agents. His research bridges perception, control, and system design, making him a rising figure in the RoboCup community.