About

Donato Di Paola is a prolific researcher whose work sits at the intersection of robotics, networked systems, and the Internet of Things (IoT). With a career spanning over a decade of impactful publications, his research has fundamentally advanced our understanding of how autonomous robotic systems can be designed, coordinated, and deployed in real-world environments. Di Paola's most celebrated contribution — his 2014 survey on IoT-aided robotics applications (168 citations) — established a foundational framework for understanding how IoT and robotics technologies converge, mapping out technological implications, application domains, and open research challenges. His earlier work on autonomous mobile robots for indoor surveillance (99 citations) demonstrated practical intelligent systems capable of reducing infrastructure complexity while maintaining robust environmental coverage. A significant thread throughout his research involves multi-robot coordination: his work on decentralized cooperative manipulation (76 citations) and consensus-based task assignment algorithms for heterogeneous robot networks reveals a sustained commitment to solving complex distributed control problems. His 2017 industrial IoT case study further bridges theoretical advances with tangible real-world deployment. Collectively accumulating over 500 citations, Di Paola's contributions offer students and researchers an essential reference point for autonomous systems, decentralized robotics control, and the emerging integration of IoT with intelligent mobile platforms.

Research Focus

Key Achievements

12
H-Index
30
Papers
657
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
IoT-aided robotics applications: Technological implications, target domains and open issues
168 citations · 2014
📈 Most Prolific Year: 2012 (5 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: National Research Council, National Academies of Sciences, Engineering, and Medicine, Institute of Intelligent Systems for Automation, Roma Tre University, Hitachi (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago