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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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 TrimBot2020 project word cloud

Explore the words cloud of the TrimBot2020 project. It provides you a very rough idea of what is the project "TrimBot2020" about.

grade    navigating    boxwood    reactive    electric    extend    first    roboticists    innovative    manufacturer    robotics    topiary    potentially    domain    original    trimbot2020    3d    semi    surface    vehicle    moving    perceptual    strategic    technologies    trim    plant    automated    computer    aspirations    sensing    aligns    terrain    varying    mobile    expects    outdoor    compliant    trl    bushes    agenda    modified    navigate    variations    bosch    visually    visual    coping    explicit    battery    leaf    falls    lighting    trimming    autonomy    market    led    annual    plants    physical    cutters    manipulation    indego    small    powered    scene    innovation    world    texture    combination    surfaces    team    lawnmower    servoing    ec    service    ideal    align    prototype    rose    cutter    self    localising    obstacles    shape    route    overgrown    vision    hedges    servo    regular    roadmap    closely    engineering    branch    map    garden    robot    explore    flexible   

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]
 Project website http://www.trimbot2020.org/
 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

Map

 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.

 Deliverables

List of deliverables.
Project promotion material, fact sheets and press releases Documents, reports 2020-03-25 14:38:10
Integrated 3D extraction package Demonstrators, pilots, prototypes 2020-03-25 14:38:09
Second periodic report Documents, reports 2020-03-25 14:38:09
Scene flow software Demonstrators, pilots, prototypes 2020-03-25 14:38:09
Proceedings of workshop 1: 3D Visual Data Fusion Documents, reports 2020-03-25 14:38:09
Dense deformable mapping software Demonstrators, pilots, prototypes 2020-03-25 14:38:09
Evaluation and dissemination of manipulator and tools version 2 plus closed-loop path and motion planning Documents, reports 2020-03-25 14:38:10
Implementation and evaluation of SLAM, 3D from binocular and motion stereo Documents, reports 2020-03-25 14:38:09
Proceedings of workshop 2: 3D Visual Data Analysis Documents, reports 2020-03-25 14:38:09
Evaluation and dissemination of manipulator and tools version 1 plus open-loop motion planning Documents, reports 2020-03-25 14:38:09
Arm and vehicle localisation Demonstrators, pilots, prototypes 2020-03-25 14:38:10
Recognition and localisation of Garden Proto-Objects Demonstrators, pilots, prototypes 2020-03-25 14:38:09
Intrinsic image decomposition Documents, reports 2020-03-25 14:38:09
First periodic report Documents, reports 2020-03-25 14:38:09
Three demonstrator plan Documents, reports 2020-03-25 14:38:09
Component and system evaluation plan Documents, reports 2020-03-25 14:38:09
Project website, blog, social media presence set up Documents, reports 2020-03-25 14:38:09
Project Dissemination Plan Documents, reports 2020-03-25 14:38:09
Data management plan and framework Documents, reports 2020-03-25 14:38:09
Ground-truth data definitions and acquisition Documents, reports 2020-03-25 14:38:09
Data representation design and implementation, sensor calibration Documents, reports 2020-03-25 14:38:09
Dynamic reconstruction progress report Documents, reports 2020-03-25 14:38:09
Report on relevant audiences and stakeholders Documents, reports 2020-03-25 14:38:09

Take a look to the deliverables list in detail:  detailed list of TrimBot2020 deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
DeMoN: Depth and Motion Network for Learning Monocular Stereo
published pages: 5038-5047, ISSN: , DOI:
Conference on Computer Vision and Pattern Regognition 2020-03-25
2017 Sezer Karaoglu, Yang Liu, Theo Gevers, Arnold W. M. Smeulders
Point Light Source Position Estimation From RGB-D Images by Learning Surface Attributes
published pages: 5149-5159, ISSN: 1057-7149, DOI: 10.1109/TIP.2017.2731619
IEEE Transactions on Image Processing 26/11 2020-03-25
2017 Thomas Schops, Johannes L. Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, Andreas Geiger
A Multi-View Stereo Benchmark with High-Resolution Images and Multi-Camera Videos
published pages: 3260-3269, ISSN: , DOI:
Conference on Computer Vision and Pattern Recognition (CVPR) 2020-03-25
2017 Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
published pages: , ISSN: , DOI:
Conference on Computer Vision and Pattern Recognition (CVPR) 2020-03-25
2017 Johannes L. Schonberger, Hans Hardmeier, Torsten Sattler, Marc Pollefeys
Comparative Evaluation of Hand-Crafted and Learned Local Features
published pages: 1482-1491, ISSN: , DOI:
Conference on Computer Vision and Pattern Recognition (CVPR) 2020-03-25
2018 B.A.J. van Tuijl, A.P.M. Tielen, A. Mencarelli, J. Hemming
Structured design of a novel end-effector for a bush trimming robot
published pages: , ISSN: , DOI:
European Society of Agricultural Engineers (EurAgEng) 2020-03-25
2018 Jochen Hemming, Bart van Tuijl, Toon Tielen, Dejan Kaljaca, Joris IJsselmuiden, Eldert van Henten, Angelo Mencarelli, Pieter de Visser
Trimbot Cutting Tools and Manipulator
published pages: , ISSN: , DOI:
APPIS Conf. 2018 2020-03-25
2018 Hoang-An Le, Anil Baslamisli, Thomas Mensink, Theo Gevers
Three for one and one for three:Flow, Segmentation, and Surface Normals
published pages: , ISSN: , DOI:
BMVC 2018 : British Machine Vision Conference 2020-03-25
2018 Radim Tylecek, Robert Fisher
Consistent Semantic Annotation of Outdoor Datasets via 2D/3D Label Transfer
published pages: 2249, ISSN: 1424-8220, DOI: 10.3390/s18072249
Sensors 18/7 2020-03-25
2018 Nicola Strisciuglio, Radim Tylecek, Michael Blaich, Nicolai Petkov, Peter Bieber, Jochen Hemming, Eldert van Henten, Torsten Sattler, Marc Pollefeys, Theo Gevers, Thomas Brox, Robert B. Fisher
TrimBot2020: an outdoor robot for automatic gardening
published pages: , ISSN: , DOI:
50th Int. Symposium on Robotics, 2018 2020-03-25
2018 Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
published pages: 942-960, ISSN: 0920-5691, DOI: 10.1007/s11263-018-1082-6
International Journal of Computer Vision 126/9 2020-03-25
2018 P. Das, A. S. Baslamisli, Y. Liu, S. Karaoglu, and T. Gevers.
Color Constancy by GANs: An Experimental Survey.
published pages: , ISSN: , DOI:
2020-03-25
2017 Torsten Sattler, Radim Tylecek, Thomas Brox, Marc Pollefeys, Robert B. Fisher
3D Reconstruction Meets Semantics. Reconstruction Challenge 2017
published pages: , ISSN: , DOI:
ICCV Workshop Venice, Italy, 2017. 2020-03-25

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

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