Aldo Franco Dragoni
Papers
8
Total Citations
112
H-Index
6
About
Aldo Franco Dragoni is a leading researcher at the intersection of artificial intelligence, robotics, and healthcare, with a primary focus on developing intelligent multi-agent systems for telerehabilitation and ambient assisted living. His most influential work, the 2019 paper on "Real-time multi-agent systems for telerehabilitation scenarios" (41 citations), establishes a foundational framework for integrating autonomous software agents with real-time operating systems to support remote patient therapy. Dragoni’s contributions extend to cyber-physical systems, where his hierarchical hybrid model (2013) addresses the critical challenge of unpredictability in AI algorithms for safety-critical applications like traffic control and robotics. He is also known for practical innovations, including the MARVIN mobile robot for video surveillance (11 citations) and a noise-robust obstacle detection algorithm using 3D sensors. His work on agent-based telerehabilitation (29 citations) critically evaluates the strengths and limitations of these systems, charting a path for future research. With a career spanning over a decade, Dragoni’s research has garnered more than 110 citations, demonstrating significant impact in making autonomous systems safer, more reliable, and more responsive to human needs—particularly in healthcare and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1Real-time multi-agent systems for telerehabilitation scenarios41 citations · 2019
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- 4MARVIN: Mobile Autonomous Robot for Video Surveillance Networks11 citations · 2012
- 5A hierarchical hybrid model for intelligent cyber-physical systems7 citations · 2013
- 6Using 3D simulators for the Ambient Assisted Living6 citations · 2014
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