Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
ELIZA—a computer program for the study of natural language communication between man and machine
Communications of the ACM
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Robust Real-Time Face Detection
International Journal of Computer Vision
Human-robot interaction: a survey
Foundations and Trends in Human-Computer Interaction
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Curious George: An attentive semantic robot
Robotics and Autonomous Systems
Flexible word meaning in embodied agents
Connection Science - Social Learning in Embodied Agents
Integrated cognitive architectures: a survey
Artificial Intelligence Review
Human-Robot Interaction in Concept Acquisition: a computational model
DEVLRN '09 Proceedings of the 2009 IEEE 8th International Conference on Development and Learning
DEVLRN '09 Proceedings of the 2009 IEEE 8th International Conference on Development and Learning
The curious robot-structuring interactive robot learning
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Focusing computational visual attention in multi-modal human-robot interaction
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
A cognitive approach for robots' vision using unsupervised learning and visual saliency
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Hybrid Salient Object Extraction Approach with Automatic Estimation of Visual Attention Scale
SITIS '11 Proceedings of the 2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems
IEEE Transactions on Evolutionary Computation
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This paper describes an autonomous system for knowledge acquisition based on artificial curiosity. The proposed approach allows a humanoid robot to discover, in an indoor environment, the world in which it evolves, and to learn autonomously new knowledge about it. The learning process is accomplished by observation and by interaction with a human tutor, based on a cognitive architecture with two levels. Experimental results of deployment of this system on a humanoid robot in a real office environment are provided. We show that our cognitive system allows a humanoid robot to gain increased autonomy in matters of knowledge acquisition.