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Toward the integration of perception and knowledge reasoning: An adaptive rehabilitation scenario

Contributo in Atti di convegno
Data di Pubblicazione:
2020
Abstract:
Social Robotics is a research field aiming at designing robots able to interact with people in a natural manner. Within the domain of Socially Assistive Robotics the capability of adapting and personalizing behaviors and assistive services of robots, according to the specific assistive context and needs of a person is crucial to improve the efficacy in users support and hence acceptance. The authors rely on some recent results concerning the realization of a cognitive control approach for assistive robots supporting the synthesis of personalized and flexible assistive behaviors. This paper takes into account a general rehabilitation scenario and presents some initial steps toward the integration of perception, knowledge representation and planning capabilities to pursue flexibility, adaptation and personalization of assistive robot behaviors.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Artificial Intelligence; Knowledge Representation and Reasoning; Perception and Machine Learning; Socially Assistive Robotics
Elenco autori:
Orlandini, Andrea; Umbrico, Alessandro; Cesta, Amedeo
Autori di Ateneo:
CESTA AMEDEO
ORLANDINI ANDREA
UMBRICO ALESSANDRO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/410546
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
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http://www.scopus.com/record/display.url?eid=2-s2.0-85081570256&origin=inward
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