Marcelo Guarini
Papers
1
Total Citations
2
H-Index
1
About
Marcelo Guarini is a researcher whose work lies at the intersection of robotics, autonomous systems, and real-time perception. His key research areas include multi-robot tracking, trajectory prediction, and latency compensation in dynamic environments—critical challenges for teams of autonomous mobile robots operating under tight coordination constraints. Guarini’s most notable contribution is his 2006 paper, “Trajectory Prediction of Multiple RoboCup F-180 Autonomous Mobile Robots for Perception-Latency Compensation,” which systematically evaluates estimation and prediction techniques for tracking multiple robots in the high-speed RoboCup F-180 league. This work provides a rigorous assessment of prediction error magnitude, computational efficiency, and algorithmic robustness, offering practical insights for overcoming perception delays in real-time multi-agent systems. While his citation count is modest, the paper’s focus on latency compensation addresses a fundamental bottleneck in autonomous robotics, influencing subsequent work in robot soccer and beyond. Guarini’s research is particularly valuable for students and engineers developing real-time control and perception pipelines for coordinated robot teams, demonstrating how careful prediction can bridge the gap between sensing and action in fast-paced environments.
Research Focus
Key Achievements
Top Papers
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