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DeepField- Deep Learning in Field Robotics: from conceptualization towards implementation

Project description

New network to bring more robots in the field

Mining, agriculture, forestry and construction are the main applications of hardworking field robots, which may operate on the ground, underwater, in air, or in space. On farms, there are robots built for specialised tasks such as strawberry picking and milking cows. At mines, robots are used to map flooded passages and analyse mineral concentrations. The EU-funded DEEPFIELD project aims to boost deep learning in field robotics. It will assist Portugal’s Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) to become a centre of excellence in field robotics via links with top-notch European research institutions.

Call for proposal

H2020-WIDESPREAD-2018-2020

See other projects for this call

Sub call

H2020-WIDESPREAD-2018-03

Coordinator

INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA
Net EU contribution
€ 287 537,50
Address
Rua Dr Roberto Frias Campus Da Feup
4200 465 Porto
Portugal
Activity type
Research Organisations
Non-EU contribution
€ 0,00
Region
Continente Norte Área Metropolitana do Porto

Participants (4)

UNIVERSITAT DE GIRONA
Spain
Net EU contribution
€ 122 875,00
Address
Placa Sant Domenec 3
17004 Girona
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
HERIOT-WATT UNIVERSITY
United Kingdom
Net EU contribution
€ 130 312,50
Address
Riccarton
EH14 4AS Edinburgh
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Germany
Net EU contribution
€ 130 000,00
Address
Hofgartenstrasse 8
80539 Munchen
Activity type
Research Organisations
Non-EU contribution
€ 0,00
POLITECNICO DI MILANO
Italy
Net EU contribution
€ 129 250,00
Address
Piazza Leonardo Da Vinci 32
20133 Milano
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00