Papers

5

Total Citations

131

H-Index

4

About

Francesco Flammini is a leading researcher in the fields of autonomous systems, cyber-physical production systems, and resilient smart infrastructure. His work bridges the gap between robotics, artificial intelligence, and system safety, with a particular focus on enabling trustworthy and fault-tolerant automation. Flammini’s major contributions include developing novel route planning algorithms for autonomous robotic vehicles—such as the weight-controlled particle swarm-optimized Dijkstra approach (76 citations)—and advancing fault detection and state estimation in robotic control using machine learning (20 citations). He has also made significant strides in model-based trustworthiness evaluation for autonomous cyber-physical production systems, a critical area for Industry 4.0, as reflected in his systematic mapping study (16 citations). His broader vision encompasses smart-troubleshooting for heterogeneous interconnected devices, leveraging product information and log files to enhance system resilience. With over 130 publications and a strong citation record, Flammini’s work is widely recognized for its practical impact on industrial automation and safety-critical systems. He has also contributed to the conceptualization of complex, resilient, and smart systems, shaping the future of autonomous and adaptive technologies.

Research Focus

Key Achievements

4
H-Index
5
Papers
131
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Route Planning for an Autonomous Robotic Vehicle Employing a Weight-Controlled Particle Swarm-Optimized Dijkstra Algorithm
76 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: University of Applied Sciences and Arts of Southern Switzerland, Linnaeus University, Mälardalen University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago