Explore the words cloud of the ROMI project. It provides you a very rough idea of what is the project "ROMI" about.
The following table provides information about the project.
Coordinator |
INSTITUT D'ARQUITECTURA AVANCADA DE CATALUNYA
Organization address contact info |
Coordinator Country | Spain [ES] |
Project website | https://romi-project.eu/ |
Total cost | 3˙868˙186 € |
EC max contribution | 3˙868˙186 € (100%) |
Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
Code Call | H2020-SFS-2017-1 |
Funding Scheme | RIA |
Starting year | 2017 |
Duration (year-month-day) | from 2017-11-01 to 2021-10-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | INSTITUT D'ARQUITECTURA AVANCADA DE CATALUNYA | ES (BARCELONA) | coordinator | 653˙125.00 |
2 | SONY EUROPE BV | NL (HOOFDDORP) | participant | 879˙087.00 |
3 | HUMBOLDT-UNIVERSITAET ZU BERLIN | DE (BERLIN) | participant | 680˙250.00 |
4 | INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE | FR (LE CHESNAY CEDEX) | participant | 641˙745.00 |
5 | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS | FR (PARIS) | participant | 487˙831.00 |
6 | SCEA PEPINIERES CHATELAIN | FR (LE THILLAY) | participant | 329˙147.00 |
7 | FRANCE EUROPE INNOVATION | FR (PARIS) | participant | 197˙000.00 |
8 | SONY EUROPE LIMITED | UK (WEYBRIDGE) | participant | 0.00 |
All over Europe, young farmers are starting small market farms. These farms can be found both in rural, peri-urban and urban areas. They grow a large variety of crops (up to 100 different varieties of vegetables per year) on small surfaces (0.01 to 5 ha) using organic farming practices. These farms have proven to be highly productive, sustainable and economically viable. But, a lot of work is done manually, resulting in physically challenging work conditions.
ROMI will develop an open and lightweight robotics platform for these microfarms. We will assist these farms in weed reduction and crop monitoring. This will reduce manual labour and increase the productivity. Thanks to ROMI’s weeding robot, farmers will save 25% of their time. This land robot will also acquire detailed information on sample plants and will be coupled with a drone that acquires more global information at crop level. Together, they will produce an integrated, multi-scale picture of the crop development that will help the farmer monitor the crops to increase efficient harvesting. For this, ROMI will have to adapt and extend state-of-the-art land-based and air-borne monitoring tools to handle small fields with complex layouts and mixed crops.
To achieve this, we will: (i) develop and bring to the market an affordable, multi-purpose, land-based robot, (ii) develop a weeding app for this robot that is adapted for organic microfarms, (iii) apply advanced 3D plant analysis and modelling techniques to in-field data acquisition, (iv) integrate these analysis techniques in the robot for detailed plant monitoring, (iv) integrate these techniques also in the aerial drone N-E-R-O for multi-scale crop monitoring, (v) extend the robot with novel, adaptive learning techniques to improve sensorimotor control of the plant monitoring app, and (vii) test the effectiveness of our solution in real-world field conditions.
A spin-off will be created to bring the robot and the drone to the market of micro-farms.
Demonstration of a 3d image segmentation application for weeding | Demonstrators, pilots, prototypes | 2020-04-24 04:43:03 |
First NERO prototype | Demonstrators, pilots, prototypes | 2020-04-24 04:43:03 |
Data Management Plan | Open Research Data Pilot | 2020-04-24 04:43:03 |
First LettuceThink prototype | Demonstrators, pilots, prototypes | 2020-04-24 04:43:03 |
Description of the experimental set-up of the outdoor field studies | Documents, reports | 2020-04-24 04:43:03 |
Intermediate dissemination report I | Documents, reports | 2020-04-24 04:43:03 |
Intermediate report on the field studies I | Documents, reports | 2020-04-24 04:43:03 |
Simplified model of Arabidopsis thaliana | Documents, reports | 2020-04-24 04:43:03 |
Take a look to the deliverables list in detail: detailed list of ROMI deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Pico, A., Schillaci, G. and Hafner, V.V. Predictive Models for Robot Ego-Noise Learning and Imitation published pages: 266-271, ISSN: , DOI: |
Proceedings of the 8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob) | 2020-04-24 |
2018 |
Lang, C., Schillaci, G. and Hafner, V.V. A Deep Convolutional Neural Network Model for Sense of Agency and Object Permanence in Robots published pages: 260-265, ISSN: , DOI: |
Proceedings of the 8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob) | 2020-04-24 |
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Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
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The information about "ROMI" are provided by the European Opendata Portal: CORDIS opendata.