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Q-Bot

Fast and economic insulation of buildings using robotic systems

Total Cost €

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EC-Contrib. €

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Partnership

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Project "Q-Bot" data sheet

The following table provides information about the project.

Coordinator
Q-BOT LIMITED 

Organization address
address: BLOCK G RIVERSIDE BUSINESS CENTRE BENDON VALLEY
city: WANDSWORTH LONDON
postcode: SW18 4UQ
website: n.a.

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.q-bot.co
 Total cost 3˙026˙161 €
 EC max contribution 2˙118˙312 € (70%)
 Programme 1. H2020-EU.3.3. (SOCIETAL CHALLENGES - Secure, clean and efficient energy)
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-2-2015
 Funding Scheme SME-2
 Starting year 2015
 Duration (year-month-day) from 2015-11-01   to  2017-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    Q-BOT LIMITED UK (WANDSWORTH LONDON) coordinator 2˙118˙312.00

Map

 Project objective

A lack of adequate thermal insulation is the single largest cause of energy loss in older buildings in Northern Europe, leading to fuel poverty, discomfort and health problems among some of the most vulnerable in society. Underfloor insulation is one of the most effective ways of preventing energy loss and draughts but traditional methods are expensive, very disruptive to occupiers and can be hazardous for installers.

Q-Bot is developing an innovative underfloor insulation system that has the potential to improve the energy foot print of millions of Europe's least energy efficient buildings by as much as 25% while reducing installation costs by 50 to 75%. The small robotic device is unique and superior to other underfloor insulation in that it can access uneven and tight spaces and underfloor voids in order to install insulation. The device enables homes, which would otherwise be difficult, expensive and potentially hazardous to treat, to be made much more energy-efficient, at much lower cost and with minimal disruption for the occupier.

Q-Bot's technology has been proven to work in prototype trials (TRL6) and is currently being tested in the field at a small number of customer sites (TRL7). The technology is highly scalable and can be deployed easily within existing distribution systems. Q-Bot has already received orders worth ca. £150K (€200K) and Q-Bot's current customers have indicated that they are very interested in using the solution across wider parts of their property portfolios.

During Phase 2, Q-Bot will develop a fully working demonstrator (WP2 and WP3), carry out full-scale trials with customers and installers (WP4 and WP5) and prepare further commercial exploitation (WP6). The 5 year goal following the Phase 2 project is to have installed >135K homes. The project will create jobs within the EU and contribute to energy efficiency targets being met, while leading to a wealth of follow-on applications in the built environment and in industry.

 Deliverables

List of deliverables.
Case Studies Documents, reports 2019-05-30 14:44:56
BBA Approval or Equivalent Documents, reports 2019-05-30 14:44:57

Take a look to the deliverables list in detail:  detailed list of Q-Bot deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Mathew Holloway
A case study for the design and development of a robotic device for spray applied insulation in underfloor voids
published pages: , ISSN: 2168-9695, DOI: 10.4172/2168-9695-C1-011
Advances in Robotics & Automation 06/03 2019-06-13
2016 Mr Mathew Holloway, Imperial College, London, UK. Dr Miguel Juliá, Q-Bot Ltd., London, United Kingdom. Prof Peter Childs, Imperial College, London, United Kingdom.
Folding mechanism for a remotely deployable robotic vehicle
published pages: , ISSN: , DOI:
47th International Symposium on Robotics 2019-06-13
2016 Mr Mathew Holloway, Imperial College, London, UK. Dr Miguel Juliá, Q-Bot Ltd., London, United Kingdom. Prof Peter Childs, Imperial College, London, United Kingdom.
A robot for spray applied insulation in underfloor voids
published pages: , ISSN: , DOI:
47th International Symposium on Robotics 2019-06-13
2016 Miguel Juliá, Q-Bot Ltd., London, UK, Mathew Holloway, Imperial College and Q-Bot Ltd., London, UK, Oscar Reinoso, Miguel Hernández University, Elche, Spain, Peter R. N. Childs, Imperial College, London, UK.,
Autonomous Surveying of Underfloor Voids
published pages: , ISSN: , DOI:
47th International Symposium on Robotics 2019-06-13
2017 Valiente, D., Gil, A., Reinoso, O., Julia, M. & Holloway, M.
Improved Omnidirectional Odometry for a View-Based Mapping Approach
published pages: 325, ISSN: 1424-8220, DOI:
Sensors 17(2) 2019-06-13

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The information about "Q-BOT" are provided by the European Opendata Portal: CORDIS opendata.

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