Curiosity-driven acquisition of sensorimotor concepts using memory-based active learning

Operating in real-world environments, a robot will need to continuously learn from its experience to update and extend its knowledge. The paper focuses on the specific problem of how a robot can efficiently select information that is ldquointerestingrdquo, driving the robot's ldquocuriosityrdqu...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2008 IEEE International Conference on Robotics and Biomimetics S. 665 - 670
Hauptverfasser:	Roa, S., Kruijff, G.-J.M., Jacobsson, H.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.02.2009
Schlagworte:	Artificial intelligence Biomimetics developmental robotics epigenetic robotics Intelligent robots interactive robot learning Intrinsically motivated reinforcement learning Jacobian matrices Learning systems Natural languages Orbital robotics Robot sensing systems State estimation State-space methods
ISBN:	9781424426782, 1424426782
Online-Zugang:	Volltext
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