An intrinsically motivated planning architecture for curiosity-driven robots

This paper presents a summary of the IMPACT (Intrinsically Motivated Planning Ar-chitecture for Curiosity-driven roboTs) project funded by the European Space Agency(ESA). The project aimed at investigating the possibility of employing Artificial In-telligence (AI) techniques to increase both the cognitive and operationalautonomyofartificial agents in general, and of robotic platforms targeted at the space domain in particular.

Publication type: 
Contributo in atti di convegno
Author or Creator: 
Oddi A.
Rasconi R.
Santucci V.G.
Sartor G.
Cartoni E.
Mannella F.
Baldassarre G.
Publisher: 
M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen., Aachen, Germania
Source: 
Proceedings of the 6th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2019), pp. 19–24, 22/11/2019
info:cnr-pdr/source/autori:Oddi A.; Rasconi R.; Santucci V.G.; Sartor G.; Cartoni E.; Mannella F.; Baldassarre G./congresso_nome:Proceedings of the 6th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2019)/congresso_luogo:/congresso_data:22
Date: 
2020
Resource Identifier: 
http://www.cnr.it/prodotto/i/423370
http://www.scopus.com/record/display.url?eid=2-s2.0-85084459840&origin=inward
Language: 
Eng
ISTC Author: 
Angelo Oddi's picture
Real name: 
Riccardo Rasconi's picture
Real name: 
Francesco Mannella's picture
Real name: 
Emilio Cartoni's picture
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