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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.

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

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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