An intrinsically motivated planning architecture for curiosity-driven robots
Contributo in Atti di convegno
Data di Pubblicazione:
2020
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.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
artificial intelligence, planning, abstraction, learning
Elenco autori:
Oddi A.; Rasconi R.; Santucci V.G.; Sartor G.; Cartoni E.; Mannella F.; Baldassarre G.
Link alla scheda completa:
Titolo del libro:
CEUR Workshop Proceedings
Pubblicato in: