DoRoThy SIGNED
Donating Robots a Theory of Mind
Total Cost €
0EC-Contrib. €
0Partnership
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0DoRoThy project word cloud
Explore the words cloud of the DoRoThy project. It provides you a very rough idea of what is the project "DoRoThy" about.
Project "DoRoThy" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITY OF PLYMOUTH
Organization address contact info |
| Coordinator Country | United Kingdom [UK] |
| Project website | https://freeplay-sandbox.github.io/ |
| 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 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | UNIVERSITY OF PLYMOUTH | UK (PLYMOUTH) | coordinator | 195˙454.00 |
Map
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'.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 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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