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EmbodiedTech SIGNED

Can humans embody augmentative robotics technology?

Total Cost €


EC-Contrib. €






 EmbodiedTech project word cloud

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

intuitively    brain    robots    physiological    arm    elucidate    model    congenital    learning    representation    bodies    people    plasticity    demands    robotic    bodied    wearable    disorganise    sensory    though    touch    artificial    groundbreaking    successful    boundaries    unfounded    originally    behavioural    extend    conflict    obscuring    view    limbs    limb    cognitive    rehabilitation    brains    acquired    experimental    complement    wrs    vision    motor    share    operate    inferred    differ    populations    free    guiding    adult    person    tremendous    notice    first    experiences    life    devoted    representations    implies    questions    adoption    tools    shared    fuse    prosthetic    technological    incorporate    combine    embodied    recruited    embodiment    seamlessly    humans    little    daily    body    usage    incorporation    human    redefining    neuroimaging    gained    fingers    characterise    designed    intuitive    foundation    neuroscience    psychology    successfully    actions    arms    wr   

Project "EmbodiedTech" data sheet

The following table provides information about the project.


Organization address
city: LONDON
postcode: WC1E 6BT
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]
 Total cost 1˙499˙405 €
 EC max contribution 1˙499˙405 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-02-01   to  2022-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 1˙445˙460.00


 Project objective

Wearable technology is redefining the boundaries of our own body. Wearable robotic (WR) fingers and arms are robots, designed to free up or complement our hand actions, to enhance humans’ abilities. While tremendous resources are being dedicated to the development of this groundbreaking technology, little notice is given to how the human brain might support it. The intuitive, though unfounded, view is that technology will fuse with our bodies, allowing our brains to seamlessly control it (i.e. embodied technology). This implies that our brain will share resources, originally devoted to controlling our body, to operate WRs. Here I will elucidate the conditions necessary for technological embodiment, using prosthetic limbs as a model. I will build upon knowledge gained from rehabilitation, experimental psychology and neuroscience to characterise and extend the boundaries of body representation towards successful adoption of WRs. I will combine behavioural, physiological and neuroimaging tools to address five key questions that are currently obscuring the vision of embodied technology: What conditions are necessary for a person to experience an artificial limb as part of their body? Would the resources recruited to control an artificial limb be shared, or rather conflict, with human body representation? Will the successful incorporation of WRs disorganise representations of the human limbs? Can new sensory experiences (touch) be intuitively inferred from WRs? Can the adult brain support the increased motor and cognitive demands associated with successful WRs usage? I will first focus on populations with congenital and acquired hand loss, who differ in brain resources due to plasticity, but experience similar daily-life challenges. I will then test body representation in able-bodied people while learning to use WR fingers and arm. Together, my research will provide the first foundation for guiding how to successfully incorporate technology into our body representation.


year authors and title journal last update
List of publications.
2019 Paulina Kieliba, Sasidhar Madugula, Nicola Filippini, Eugene P. Duff, Tamar R. Makin
Large-scale intrinsic connectivity is consistent across varying task demands
published pages: e0213861, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0213861
PLOS ONE 14/4 2020-03-24
2019 Zeena-Britt Sanders, Daan B Wesselink, Harriet Dempsey-Jones, Tamar R Makin
Similar somatotopy for active and passive digit representation in primary somatosensory cortex
published pages: 754648, ISSN: 2050-084X, DOI: 10.1101/754648
BioRXiv 2020-03-24
2019 Roni O. Maimon Mor, Hunter R. Schone, Rani Moran, Peter Brugger, Tamar R. Makin
Motor control drives visual bodily judgements
published pages: , ISSN: 0010-0277, DOI:
Cognition 2019-11-07
2019 Avital Hahamy, Tamar R. Makin
Remapping in cerebral and cerebellar cortices is not restricted by somatotopy
published pages: 2599-18, ISSN: 0270-6474, DOI: 10.1523/jneurosci.2599-18.2019
The Journal of Neuroscience 2019-11-07
2019 Harriet Dempsey-Jones, Daan B. Wesselink, Jason Friedman, Tamar R. Makin
Organized Toe Maps in Extreme Foot Users
published pages: 2748-2756.e4, ISSN: 2211-1247, DOI: 10.1016/j.celrep.2019.08.027
Cell Reports 28/11 2019-11-07
2017 Tamar R. Makin, Frederique de Vignemont, A. Aldo Faisal
Neurocognitive barriers to the embodiment of technology
published pages: 14, ISSN: 2157-846X, DOI: 10.1038/s41551-016-0014
Nature Biomedical Engineering 1/1 2019-06-13
2018 Fiona M Z van den Heiligenberg, Tanya Orlov, Scott N Macdonald, Eugene P Duff, David Henderson Slater, Christian F Beckmann, Heidi Johansen-Berg, Jody C Culham, Tamar R Makin
Artificial limb representation in amputees
published pages: 1422-1433, ISSN: 0006-8950, DOI: 10.1093/brain/awy054
Brain 141/5 2019-06-13

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

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