Papers

2

Total Citations

10

H-Index

2

About

Eric Bensana is a leading researcher in autonomous systems, with a focus on maritime robotics and decision-level architectures for multi-agent missions. His work addresses the critical challenge of enabling autonomous vehicles to manage disruptive events—such as internal failures, mission updates, and environmental changes—through robust supervision and adaptive behavior. Bensana’s most-cited paper, “A Generic and Modular Architecture for Maritime Autonomous Vehicles” (2018, 8 citations), proposes a flexible framework that allows autonomous vessels to detect and react to operational perturbations in real time, enhancing their resilience and reliability. In his earlier work, “Knowledge Base for Planning, Execution and Plan Repair” (2012, 2 citations), he tackles the interoperability of heterogeneous robotic systems, developing decision-level solutions for robust plan execution and repair in multi-robot missions. These contributions are foundational for advancing autonomous operations in complex, unpredictable environments, with direct applications in maritime exploration, surveillance, and logistics. Bensana’s research bridges the gap between theoretical planning and practical deployment, making him a key figure in the evolution of resilient, modular autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A generic and modular architecture for maritime autonomous vehicles
8 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Office National d'Études et de Recherches Aérospatiales

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago