Giuliano Sciusco

Papers

Total Citations

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About

Giuliano Sciusco is a researcher at the forefront of precision turfgrass management, specializing in the integration of automation and robotics into sustainable agricultural and landscape practices. His work focuses on evaluating the operational parameters of autonomous mowers, particularly their efficiency, energy consumption, and impact on turfgrass quality. Sciusco’s major contributions include pioneering comparative studies between random and systematic mowing trajectories, demonstrating that systematic patterns can significantly reduce trampling and improve mowing uniformity on low-maintenance warm-season turfgrass. His 2023 paper, which has garnered 12 citations, established foundational benchmarks for robotic mower performance, while his 2024 follow-up advanced the field by addressing the limitations of random patterns for professional sports turf applications. By quantifying how different trampling levels and drivetrain configurations (2WD vs. 4WD) affect turf health and operational time, Sciusco’s research provides critical data for optimizing robotic mowing in both residential and high-stakes athletic settings. His work is instrumental in bridging the gap between consumer-grade automation and professional-grade turf care, offering practical solutions for reducing labor and environmental costs.