Gabriel B. Farias
Papers
2
Total Citations
5
H-Index
2
About
Gabriel B. Farias is a robotics researcher whose work focuses on the intersection of systems engineering and autonomous agents, particularly within the dynamic environment of the RoboCup Small Size League (SSL). His primary contributions lie in developing rigorous, simulation-driven methods for deriving functional requirements for robotic soccer players. In his most cited work, Farias introduces a novel approach using Monte Carlo simulation to systematically determine the critical parameters and specifications for an SSL goalkeeper. This method moves beyond intuition, providing a data-backed framework for designing robots that can reliably perform high-speed interception and defense. His subsequent research extends this methodology to the broader SSL robot platform, offering a replicable process for optimizing design parameters across different player roles. While his citation count is currently modest, reflecting the early stage of his career, Farias’s work is foundational for engineers seeking to apply formal engineering design principles to competitive, real-time robotics. His research is particularly valuable for students and researchers in robot design, autonomous systems, and simulation-based engineering, demonstrating how computational modeling can directly inform the creation of more capable and robust robotic athletes.
Research Focus
Key Achievements
Top Papers
- 1
- 2Requirements Derivation for RoboCup Small Size League Robot2 citations · 2020