publication . Conference object . 2019

Eager to Learn vs. Quick to Complain? How a socially adaptive robot architecture performs with different robot personalities

Giulio Sandini; Lola Cañamero; Alessandra Sciutti; Francesco Rea; Ana Tanevska;
Open Access
  • Published: 28 Nov 2019
A social robot that is aware of our needs and continuously adapts its behaviour to them has the potential of creating a complex, personalized, human-like interaction of the kind we are used to have with our peers in our everyday lives. We are interested in exploring how would an adaptive architecture function and personalize to different users when given different initial values of its variables, i.e. when implementing the same adaptive framework with different robot personalities. Would an architecture that learns very quickly outperform a slower but steadier learning profile? To further explore this, we propose a cognitive architecture for the humanoid robot i...
Persistent Identifiers
free text keywords: Social robots and social learning, Human-human and human-robot interaction and communication, Architectures for Cognitive Development and Open-Ended Learning, Robot, Architecture, iCub, Humanoid robot, Adaptive architecture, Human–computer interaction, Cognitive architecture, Visualization, Computer science, Social robot
Funded by
investigating Human Shared PErception with Robots
  • Funder: European Commission (EC)
  • Project Code: 804388
  • Funding stream: H2020 | ERC | ERC-STG
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Conference object . 2019
Provider: ZENODO
Conference object . 2019
Provider: Crossref
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