Raffaele Amico

Object Computing (United States)

Papers

1

Total Citations

5

H-Index

1

About

Raffaele Amico is a robotics researcher specializing in field robotics, autonomous navigation, and robotic manipulation for environmental applications. His major contributions center on the development of control architectures for mobile robots operating in hazardous and unstructured terrains, particularly for soil sampling and environmental monitoring. Amico’s most cited work introduces the control framework of the ROBILAUT soil sampling robot, a crawler-based system designed to autonomously collect samples from potentially contaminated lands. This project, part of an Italian national initiative, integrates a custom driller and sampling mechanism, showcasing a practical solution for remote, high-risk environmental tasks. With 5 citations on his leading paper, Amico’s research demonstrates tangible impact in the field of robotic environmental remediation. His work bridges the gap between theoretical control systems and real-world deployment, emphasizing robust navigation and precise manipulation under challenging conditions. Amico’s contributions are particularly notable for their applied focus, offering a blueprint for future autonomous systems in agriculture, disaster response, and hazardous waste management. His achievements highlight a commitment to engineering robots that address pressing environmental and safety challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Control framework of the ROBILAUT soil sampling robot: system overview and experimental results
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Object Computing (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago