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 Intelligence (AI) techniques to increase both the cognitive and operationalautonomyofartificial agents in general, and of robotic platforms targeted at the space domain in particular.

An intrinsically motivated planning architecture for curiosity-driven robots

Sartor G.;
2020-01-01

Abstract

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 Intelligence (AI) techniques to increase both the cognitive and operationalautonomyofartificial agents in general, and of robotic platforms targeted at the space domain in particular.
2020
6th Italian Workshop on Artificial Intelligence and Robotics, AIRO 2019
ita
2019
CEUR Workshop Proceedings
CEUR-WS
2594
19
24
http://ceur-ws.org/Vol-2594/short5.pdf
artificial intelligence, planning, abstraction, learning
Oddi A.; Rasconi R.; Santucci V.G.; Sartor G.; Cartoni E.; Mannella F.; Baldassarre G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1798357
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