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TrimBot2020 SIGNED

A gardening robot for rose, hedge and topiary trimming

Total Cost €

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EC-Contrib. €

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Partnership

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Project "TrimBot2020" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF EDINBURGH 

Organization address
address: OLD COLLEGE, SOUTH BRIDGE
city: EDINBURGH
postcode: EH8 9YL
website: www.ed.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 6˙354˙951 €
 EC max contribution 5˙420˙607 € (85%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2015
 Funding Scheme /RIA
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2019-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) coordinator 1˙324˙812.00
2    ALBERT-LUDWIGS-UNIVERSITAET FREIBURG DE (FREIBURG) participant 857˙500.00
3    ROBERT BOSCH GMBH DE (GERLINGEN-SCHILLERHOEHE) participant 833˙075.00
4    UNIVERSITEIT VAN AMSTERDAM NL (AMSTERDAM) participant 638˙985.00
5    RIJKSUNIVERSITEIT GRONINGEN NL (GRONINGEN) participant 635˙000.00
6    WAGENINGEN UNIVERSITY NL (WAGENINGEN) participant 570˙720.00
7    STICHTING WAGENINGEN RESEARCH NL (WAGENINGEN) participant 560˙515.00
8    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH CH (ZUERICH) participant 0.00

Mappa

 Project objective

The TrimBot2020 project will research the robotics and vision technologies to prototype the first outdoor garden trimming robot. The robot will navigate over varying terrain, approach rose bushes, hedges and boxwood topiary, to trim them to an ideal shape. The robot will be based on a modified Bosch Indego robot lawnmower, which will navigate using a user-defined garden map and 3D scene analysis, and then visually servo a novel electric plant cutter.

Achieving this will require a combination of robotics and 3D computer vision research and innovation activities. Original developments will be required for 3D sensing of semi-regular surfaces with physical texture (overgrown plant surfaces), coping with outdoor lighting variations, self-localising and navigating over real terrain and around obstacles, visual servoing to align the vehicle with potentially moving target plants, visual servoing to align leaf and branch cutters to a compliant surface, and innovative engineering to deliver all this on a small battery-powered consumer-grade vehicle. Development of these capabilities aligns closely with the Robotics Strategic Research Agenda and Multi-Annual Roadmap aspirations.

This project falls clearly in the consumer market domain. It will develop service robotics, advanced perceptual capabilities, mobile manipulation, and flexible and reactive autonomy. As a novel robotics application, the current TRL is 1/2, but the project aims to achieve TRL 5/6. Bosch expects to exploit the project's results to extend its current automated lawnmower product.

This exciting project will extend generic robotics and computer vision technologies, explore a new robot application, has an explicit route to market exploitation by an experienced manufacturer, and has a great team with experienced plant roboticists and world-leading computer vision researchers, led by an experienced EC project coordinator.

 Work performed, outcomes and results:  advancements report(s) 

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The information about "TRIMBOT2020" are provided by the European Opendata Portal: CORDIS opendata.

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