HUMAN ROBOT FLUENCY

Embodied Cognitive Models for Fluent Human-Robot Interaction

Coordinatore	INTERDISCIPLINARY CENTER (IDC) HERZLIYA    more  Organization address address: Kanfei Nesharim city: HERZLIYA postcode: 46150 contact info Titolo: Dr. Nome: Eric Cognome: Zimmerman Email: send email Telefono: +972 9 9527676 Fax: +972 9 9527268
Nazionalità Coordinatore	Israel [IL]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2011-CIG
Funding Scheme	MC-CIG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-09-01   -   2015-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	INTERDISCIPLINARY CENTER (IDC) HERZLIYA  Organization address address: Kanfei Nesharim city: HERZLIYA postcode: 46150 contact info Titolo: Dr. Nome: Eric Cognome: Zimmerman Email: send email Telefono: +972 9 9527676 Fax: +972 9 9527268	IL (HERZLIYA)	coordinator	100˙000.00

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 Obiettivo del progetto (Objective)

'Robotics is moving from industrial applications into personal and office environments, in part due to converging trends of an aging population, a shrinking workforce, and a decrease in production costs. The research field of Human-Robot Interaction (HRI) studies the models and algorithms necessary for robots to interact with non-professional humans in these new environments. However, most HRI models are structured in a discrete turn-taking framework, based on dialog, planning, and state-action models. This usually results in a rigid and delayed stop-and-go interaction, which is unlike the simultaneous, fluent action coordination humans are used to from each other. This research proposes to bridge this gap by evaluating new computational models enabling fluent coordination in human-robot interaction. The goal is to design robots that interact with untrained humans in a more natural and human-acceptable way, facilitating their integration into homes, offices, hospitals, and workshops. The research proposed is based on recent cognitive and neurological research in embodied cognition, which sheds new light on the how humans coordinate their actions in a fluent manner. It proposes to computationally model these findings - in particular those of perceptual emulators and real-time action predictors - and to implement them in a human-robot collaborative setting. It also proposes to conduct human-subject studies evaluating the benefits of these new models, and their acceptance by untrained users. The project's potential is to suggest new research paths in HRI, extend the current knowledge in embodied cognition, and produce practical outcomes for the design of robotic systems for the general population. Due to the recent return of the applicant to the EU zone from the US, this proposal is also crucial for the reintegration of the applicant into the EU zone, as well as for the successful transfer of knowledge and future collaboration with top US research institutes.'