Claudio Sanguedolce
Papers
1
Total Citations
4
H-Index
1
About
Claudio Sanguedolce is a researcher whose work sits at the intersection of cloud robotics, autonomous systems, and data-driven mission management. His most cited contribution, "A Modular Cloud Robotics Architecture for Data Management and Mission Handling of Unmanned Robotic Services" (2017), proposes a scalable framework that integrates cloud computing with robotic services, enabling efficient data processing and real-time mission coordination for unmanned vehicles. This architecture addresses critical challenges in deploying autonomous systems across dynamic environments, offering a modular approach that enhances flexibility and reliability. While his citation count remains modest, the foundational nature of this work signals its relevance to emerging fields like industrial automation and remote robotic operations. Sanguedolce’s research is particularly notable for bridging theoretical design with practical implementation, providing a blueprint for future cloud-robotic ecosystems. His contributions are valuable for students and engineers exploring how cloud resources can offload computational burdens from onboard systems, paving the way for more intelligent and responsive unmanned services in logistics, surveillance, and disaster response.
Research Focus
Key Achievements
Top Papers
- 1