Opendata, web and dolomites


Donating Robots a Theory of Mind

Total Cost €


EC-Contrib. €






Project "DoRoThy" data sheet

The following table provides information about the project.


Organization address
postcode: PL4 8AA

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
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-09-07   to  2017-09-06


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF PLYMOUTH UK (PLYMOUTH) coordinator 195˙454.00


 Project objective

This project aims to advance the science and technology of meta-cognition in social robotics. During social interactions, humans use powerful cognitive mechanisms to represent and interpret what others know or intend. Doing so helps us respond appropriately in social interactions: we use a combination of sensory perception together with internal models of what others are (and will be) doing and thinking. We believe these capabilities to be equally important for social robots, a type of robot which is intended to interact with people. Endowing robot with skills to 'read the minds' of others is not only key to build next-generation assistive and industrial robots, but also presents a considerable research challenge. A challenge with tremendous benefits but few successes to date.

Relying both on a novel formal approach based on modal logics, and on a strong experimental component in real-world conditions, this proposal suggests an ambitious interdisciplinary approach to better comprehend and formalize higher-order artificial cognition. The aim of which is to advance the design and practical implementation of socially interactive robots, in line with the Horizon 2020 Future and Emerging Technologies priority of moving 'cognition beyond problem solving'.


year authors and title journal last update
List of publications.
2017 E. Senft; S. Lemaignan; P. Baxter; T. Belpaeme
Toward Supervised Reinforcement Learning with Partial States for Social HRI
published pages: , ISSN: , DOI:
AAAI Fall Symposium -- AI-HRI 2019-06-13
2017 Séverin Lemaignan, Mathieu Warnier, E. Akin Sisbot, Aurélie Clodic, Rachid Alami
Artificial cognition for social human–robot interaction: An implementation
published pages: 45-69, ISSN: 0004-3702, DOI: 10.1016/j.artint.2016.07.002
Artificial Intelligence 247 2019-06-13
2016 E. Senft; S. Lemaignan; P. Baxter; T. Belpaeme
SPARC: an efficient way to combine reinforcement learning and supervised autonomy
published pages: , ISSN: , DOI:
NIPS -- Future of Interactive Learning Machines 2019-06-13
2017 Emmanuel Senft, Paul Baxter, James Kennedy, Séverin Lemaignan, Tony Belpaeme
Supervised autonomy for online learning in human-robot interaction
published pages: 77-86, ISSN: 0167-8655, DOI: 10.1016/j.patrec.2017.03.015
Pattern Recognition Letters 99 2019-06-13

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

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