Guest Editorial Active Learning and Intrinsically Motivated Exploration in Robots: Advances and Challenges

Authors:
M. Lopes;P. -Y. Oudeyer
Affiliations:
School of Computing and Mathematics, University of Plymouth, Plymouth, U.K.;-
Venue:
IEEE Transactions on Autonomous Mental Development
Year:
2010

Citing 0
Cited 3

Active learning of inverse models with intrinsically motivated goal exploration in robots

Robotics and Autonomous Systems
Human behavior understanding for robotics

HBU'12 Proceedings of the Third international conference on Human Behavior Understanding
Socially guided intrinsic motivation for robot learning of motor skills

Autonomous Robots

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Abstract

The six papers in this special issue focus on active learning and intrinsically motivated exploration in robots. The issue presents novel contributions on intentional exploration, i.e., internal mechanisms and constraints that explicitly foster organized exploration.