About

Dr. Marcelo Paravisi’s research lies at the critical intersection of disaster robotics, autonomous navigation, and embedded systems. His most impactful contribution is the development of a sophisticated Unmanned Surface Vehicle (USV) simulator that incorporates realistic environmental disturbances—waves, wind, and water currents—to test robust navigation strategies for disaster scenarios. This work, published in 2019, has garnered 71 citations, reflecting its importance in enabling safer, more reliable autonomous operations in unpredictable aquatic environments. Paravisi has also advanced the field by integrating accurate hydrologic urban flooding simulations into disaster robotics, addressing a key challenge for robots operating in flooded areas. Additionally, he has contributed to the design of integrated software development environments for robotic applications on Multi-processor Systems-on-Chip (MPSoCs), with a focus on energy estimation and low-power consumption—essential for extending mission durations in autonomous vehicles. His work bridges simulation fidelity with real-world deployment constraints, offering tools that help researchers and engineers build more resilient robotic systems. Through these efforts, Paravisi is shaping the next generation of autonomous surface vehicles capable of operating safely in the world’s most hazardous environments.

Research Focus

Key Achievements

2
H-Index
3
Papers
75
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Unmanned Surface Vehicle Simulator with Realistic Environmental Disturbances
71 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul, Pontifícia Universidade Católica do Rio Grande do Sul

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago