Rocchina Romano

Papers

1

Total Citations

2

H-Index

1

About

Rocchina Romano is a robotics researcher whose work centers on computer vision, autonomous systems, and multi-agent coordination, with a particular focus on the RoboCup Standard Platform League (SPL). Her most notable contribution is the development of MARIO—a Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL. Presented at the RoboCup 2022 Open Research Challenge in Bangkok, MARIO is an open-source software application designed to compute real-time visual statistics during robotic soccer matches. This tool enables teams to analyze game dynamics, such as player positioning and ball tracking, thereby advancing both competitive performance and research in autonomous decision-making. While her citation count is still growing—with MARIO garnering 2 citations to date—the work represents a foundational step toward standardized, reusable frameworks in multi-robot systems. Romano’s research bridges the gap between theoretical computer vision and practical deployment in dynamic, adversarial environments. Her contributions are particularly valuable for students and researchers interested in modular software architectures, human-robot interaction, and the integration of visual analytics into competitive robotics. As the RoboCup community continues to evolve, Romano’s work offers a scalable tool for future innovations in autonomous teamwork.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago