Papers

9

Total Citations

51

H-Index

5

About

Michel Occello is a researcher specializing in multi-agent systems, real-time computing, and autonomous mobile robotics. His work has focused primarily on developing intelligent control architectures for robots, with a particular emphasis on bridging the gap between reactive and deliberative processes in constrained embedded environments. Occello's most significant contributions center on the design and application of parallel blackboard architectures as a foundation for multi-agent robotic controllers. His 1998 paper on organizing agents for cooperation under real-time constraints (18 citations) established foundational principles that informed much of his subsequent robotics work. Throughout the early 2000s, he developed a cohesive methodology for specifying and building distributed blackboard-based control systems, demonstrating how multi-agent frameworks could satisfy the demanding reactivity and timing requirements of onboard robot controllers. His research consistently addressed practical engineering challenges: how to decompose control problems across distributed blackboards, how to guarantee real-time behavioral guarantees, and how to produce reusable, generic tooling for intelligent robotics design. Later work, including a 2014 paper on safety-related non-functional requirements in embedded multi-agent systems, shows an evolution toward formally addressing dependability concerns in agent-based design. Collectively, his publications offer students a methodologically rich perspective on architecting intelligent, real-time robotic systems.

Research Focus

Key Achievements

5
H-Index
9
Papers
51
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Designing organized agents for cooperation with real time constraints
18 citations · 1998
📈 Most Prolific Year: 2002 (4 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Centre National de la Recherche Scientifique, Université Côte d'Azur, Université Grenoble Alpes

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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