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Davide Zambrano

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Related publications (4)

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Learning continuous-time working memory tasks with on-policy neural reinforcement learning

Davide Zambrano

An animals' ability to learn how to make decisions based on sensory evidence is often well described by Reinforcement Learning (RL) frameworks. These frameworks, however, typically apply to event-based representations and lack the explicit and fine-grained ...

2021

Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Dario Floreano, Davide Zappetti, Giovanni Iacca, Davide Zambrano

Designing optimal soft modular robots is difficult, due to non-trivial interactions between morphology and controller. Evolutionary algorithms (EAs), combined with physical simulators, represent a valid tool to overcome this issue. In this work, we investi ...

Association for Computing Machinery2021

How to compete with robots by assessing job automation risks and resilient alternatives

Rafael Lalive, Antonio Paolillo, Dario Floreano, Fabrizio Schiano, William John Stewart, Davide Zambrano, Nicola Nosengo

The effects of robotics and artificial intelligence (AI) on the job market are matters of great social concern. Economists and technology experts are debating at what rate, and to what extent, technology could be used to replace humans in occupations, and ...

2022

Autonomous Detection and Deterrence of Pigeons on Buildings by Drones

Dario Floreano, Fabrizio Schiano, Davide Zambrano

Pigeons may transmit diseases to humans and cause damages to buildings, monuments, and other infrastructure. Therefore, several control strategies have been developed, but they have been found to be either ineffective or harmful to animals and often depend ...

2022