[iva] RO-MAN 2020 Workshop - CognitIve RobotiCs for intEraction (CIRCE)
Giovanna Varni
giovanna.varni at telecom-paris.fr
Tue Jun 2 10:09:02 CEST 2020
Apologies for cross-posting
RO-MAN 2020 Workshop - CognitIve RobotiCs for intEraction (CIRCE)
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1st Call For Papers (apologies for multiple copies)
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Background
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Humans can easily collaborate with others, thanks to their capacity of understanding other agents and anticipate their actions. This possibility is given by the fact that humans are cognitive agents who combine sensory perception with internal models of the environment and people, and that they perceive other humans with the same features: this enables mutual understanding and coordination. Robots, in order to be able to interact with humans in an efficient and natural way, need to have a cognitive architecture as well.
Without cognition machines lack the abilities to predict, understand and adapt to their partners, preventing the establishment of long-lasting rapport. On the other hand, robots are an ideal stimulus to understand which basic skills are necessary for a cognitive social agent to make natural human-robot interaction possible.
The implementation of cognitive architectures on robots could validate cognitive theories or give cognitive scientists inputs for new questions to investigate, while the results about human behavior during human-robot interaction studies could give robotics engineers new hints for developing more socially intelligent robots.
The goal of the workshop will be to provide a venue for researchers interested in the study of HRI, with a focus on cognition. It will be an ideal venue to discuss about the open challenges in developing cognitive architectures for HRI, such as anticipation, adaptation (both emotional and motoric), dyadic and group interaction, the human inspiration and the technological implementation of cognitive architectures by means of, among others, computer vision and machine learning techniques.
The workshop is targeted to HRI researchers who are interested in interdisciplinary approaches. In particular, in order to encourage discussion, we would like to welcome researchers from a broad range of disciplines such as robotics, neurosciences, social sciences, psychology and computer science.
The workshop will be held on 31 August 2020, in conjunction with the 29th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN2020), that will be held from 31 August to 04 September 2020 in Naples, Italy.
Topics include, but are not limited to the following
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- Adaptation
- Personalization
- Anticipation
- Group interaction
- Cognitive interaction
- Human learning
- Machine learning
Key Dates
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30 June, 2020 - Deadline for paper submission
July 14, 2020 - Notification of acceptance
August 31, 2020 - Workshop
Submission Guidelines
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Submitted papers can be short papers (2-4 pages) or full papers (up to 8 pages).
Submissions must be in PDF format, following the RO-MAN conference style.
For any questions regarding paper submission, please email us.
Presentation
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Papers will be presented either as talks or as poster plus spotlight presentation.
Publication
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All accepted papers will appear on the workshop website (with the opt out option available for authors). We will consider the possibility to organize a Special Issue including extended/revised version of selected papers.
Organizers
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Main organizer:
Alessia Vignolo, Istituto Italiano di Tecnologia, Italy
Co-organizers:
Alessandra Sciutti - Istituto Italiano di Tecnologia, Italy
Serena Ivaldi - Inria Nancy Grand-Est, France
Katrin Lohan - Heriot-Watt University, Edinburgh Campus, Scotland
Giovanna Varni - LTCI, Télécom Paris, Institut Polytechnique de Paris, France
Workshop Website
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https://circe-roman2020.loria.fr/
Contact Information
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Alessia Vignolo, alessia.vignolo at iit.it
Alessandra Sciutti, alessandra.sciutti at iit.it
Serena Ivaldi, serena.ivaldi at inria.fr
Katrin Lohan, k.lohan at hw.ac.uk
Giovanna Varni, giovanna.varni at telecom-paris.fr
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[ https://www.telecom-paris.fr/ ]
Giovanna VARNI
Associate Professor
01 75 31 97 07
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