Valerio De Carolis
Papers
2
Total Citations
10
H-Index
2
About
Valerio De Carolis is a researcher focused on advancing autonomous underwater vehicle (AUV) operations through probabilistic reasoning and intelligent mission planning. His work addresses the critical challenge of enabling AUVs to operate persistently and autonomously in dynamic, partially-known environments. In his 2013 paper, "Probabilistic approaches in ontologies: Joining semantics and uncertainty for AUV persistent autonomy," he pioneered the integration of probabilistic methods with semantic ontologies to handle uncertainty in autonomous decision-making—a foundational contribution that has garnered 7 citations in the ocean technology community. Building on this, his 2017 work, "Towards an online heuristic method for energy-constrained underwater sensing mission planning," tackles the practical problem of real-time mission adaptation under energy constraints, proposing heuristic strategies that move beyond traditional offline planning. Though his citation counts are modest, De Carolis’s research is notable for bridging theoretical uncertainty modeling with applied AUV autonomy, directly addressing the industry’s need for vehicles that can independently plan and execute complex sensing missions. His contributions are particularly relevant for researchers working on persistent ocean monitoring and energy-efficient robotic operations.
Research Focus
Key Achievements
Top Papers
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- 2