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Content archived on 2024-06-18

Humanoids that Learn Socio-Communicative Skills by Observation

Project description


Cognitive Systems, Interaction, Robotics
Developing new cognitive architectural principles to allow intelligent agents to learn socio-communicative skills by observing and imitating people
Automatic imitation learning of socio-communicative skills is an interesting research topic with significant potential benefits for future autonomous systems, robots and intelligent interfaces. HUMANOBS will develop new cognitive architectural principles that allow intelligent agents to learn socio-communicative skills by observing and imitating people. The resulting system will control a virtual humanoid television host, capable of conducting a simulated TV program and taking interviews with human users through speech and gesture (including face, body, arm and hand). The long-term framework is one in which humanoid agents and robots have autonomy for learning multimodal skills in dynamic social situations.

Human communicative skills rely on a complex mixture of social and spatio-temporal perception-action processes. Autonomous virtual agents that interact with people could benefit greatly from socio-communicative skills; endowing them with such skills, however, could mean decades of person-years in manual programming. Enabling the agents to learn these skills is an alternative solution the learning mechanisms for this, however, are also well beyond the state of the art. Our goal is to develop new cognitive architectural principles to allow intelligent agents to learn socio-communicative skills by observing and imitating people in dynamic social situations on the job. Skill development, in our approach, is a fundamental architectural feature: Learning happens through unique architectural constructs specified by developers, coupled with the ability of the architecture to automatically reconfigure itself to accommodate new skills through observation. As an appropriate and challenging demonstration the resulting system will control a virtual humanoid television host, capable of taking interviews with users and conducting a 10-minute TV program. By observing and imitating humans the TV-host will acquire increasingly complex socio-communicative skills; by the end of the project it will have reached socio-communicative skills comparable to an average human television show host. The agent's skills will be evaluated using a thorough, formal method.

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FP7-ICT-2007-3
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CP - Collaborative project (generic)

Coordinator

HASKOLINN I REYKJAVIK EHF
EU contribution
€ 606 410,00
Address
MENNTAVEGUR 1
102 Reykjavik
Iceland

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Region
Ísland Ísland Höfuðborgarsvæði
Activity type
Higher or Secondary Education Establishments
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Total cost

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Participants (6)

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