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
Top Papers
- 1A generic and modular architecture for maritime autonomous vehicles8 citations · 2018
- 2Knowledge Base for Planning, Execution and Plan Repair2 citations · 2012