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.

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

Umbrico Alessandro;Orlandini Andrea;Cesta Amedeo
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.
2020
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Artificial Intelligence
Knowledge Representation and Reasoning
Perception and Machine Learning
Socially Assistive Robotics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/410546
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