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Agrobot: autonomous robots to support economic growth and environmental sustainability of Umbria's agriculture

Authors: Enrico Bellocchio; Alessandro Bruni; Nicholas Cartocci; Gabriele Costante; Francesco Crocetti; Aldo Longhi; Luca Pacicco; +9 Authors

Agrobot: autonomous robots to support economic growth and environmental sustainability of Umbria's agriculture

Abstract

The AGROBOT project is aimed at the realisation and experimental validation of an autonomous robot with the purpose of supporting innovative agricolture approaches suitable for territories characterised by small, family owned agricultural firms, with not too large fields located in hilly areas. The project will demonstrate the suitability of precision farming solutions for the designed target stakeholders, with the goal of supporting the economic growth and the introduction of approaches aimed at improving environmental sustainability. From the technological point of view, the project will be based on state of the art methods as for perception, control and navigation. Also, advanced, photo realistic simulation environments will be used, to take full advantage of those solutions and to reduce the burden of infield experimental tests.

https://youtu.be/U2oh-QHfR24

Country
Italy
Keywords

robot navigation, visual slam, precision farming, Autonomous robotics

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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