Max Robotics — Global Service Robot Directory + US Certification

About

Nicola Catenacci Volpi is a researcher at the intersection of cognitive robotics, autonomous systems, and information theory. His work explores how agents—both biological and artificial—can learn to act intelligently in their environments. A key contribution is his research on **empowerment**, an information-theoretic measure that quantifies an agent’s influence over its own future states. Volpi applied this concept to autonomous underwater vehicles (AUVs), demonstrating how empowerment can identify desirable control states for vehicles like the eFolaga, enabling more adaptive and robust behavior in complex underwater missions. Volpi has also made significant strides in **multi-vehicle coordination**, developing decoupled sampling-based motion planning for multiple autonomous marine vehicles—critical for tasks like geotechnical surveying and 3D habitat mapping. His early work on neuro-robotic models explored how agents can learn epistemic actions without explicit memory or reward functions, bridging reinforcement learning and embodied cognition. With papers accumulating citations in the fields of marine robotics and cognitive systems, Volpi’s contributions are foundational to the **WiMUST H2020 project**, which aims to advance scalable underwater sonar technologies. His research continues to shape how autonomous systems perceive, learn, and act in the physical world.