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Completed H2020 European Commission

Natural Intelligence for Robotic Monitoring of Habitats

€3.05M EUR

Funder European Commission
Recipient Organization Universita Di Pisa
Country Italy
Start Date Jan 01, 2021
End Date Mar 31, 2024
Duration 1,185 days
Number of Grantees 9
Roles Participant; Coordinator
Data Source European Commission
Grant ID 101016970
Grant Description

Global warming and pollution are threatening the survival of one million over the eight million species in forests and oceans on the planet. The EU answer to these challenges is the set of deeply transformative policies contained in the European Green Deal.

Among these policies a prominent role is given to the restoring and preservation of ecosystems by increasing the coverage of protected biodiversity-rich land and sea areas building on the Natura 2000 network.Stretching over 18% of the EUs land area and almost 6% of its marine territory, Natura 2000 is the largest coordinated network of protected areas in the world.

The land and sea coverage will be increased up to 30% within 2030.Today human operators are the only option to perform the environmental monitoring of such a large area.

This is not only because of their specific expertise and knowledge in classifying plants and habitats but also because their physical intelligence allowing them to move for hours in wild unstructured environments such dunes, forests, and mountains.

The artificial alternative is robotics, which made tremendous advancements in recent years, however robots hardly leave laboratories and factories because they are not robust and efficient to survive in the real world.

Flying robots do not have the required energy autonomy, while ground robots are not: i) intelligent to autonomously percept, interpret, and interact with highly uneven, slipping and irregular grounds, ii) physically robust to manage unexpected contacts and impacts.The Natural Intelligence (NI) project aims to serve the European Green Deal via monitoring the natural habitats of N2000N with robots able to effectively move in dunes, grasslands, forests, and alpine terrains.

NI robots will be empowered by Natural Intelligence, emerging by the interaction of environment, body and mind, leveraging on the fusion of artificial cognition and articulated soft-robotics bodies.

All Grantees

Imperial College of Science Technology and Medicine; Qbrobotics Srl; University of Durham; Agencia Estatal Consejo Superior de Investigaciones Cientificas; Universita Di Pisa; Istituto Superiore Per la Protezione E la Ricerca Ambientale; Eidgenoessische Technische Hochschule Zuerich; Kingston University Higher Education Corporation; Technische Universiteit Delft

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