The logic of typed feature structures
The logic of typed feature structures
A Multimodal System for Object Learning
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Adaptive Dialog Based upon Multimodal Language Acquisition
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Towards a self-extending parser
ACL '79 Proceedings of the 17th annual meeting on Association for Computational Linguistics
Probabilistic grounding of situated speech using plan recognition and reference resolution
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Using redundant speech and handwriting for learning new vocabulary and understanding abbreviations
Proceedings of the 8th international conference on Multimodal interfaces
Proceedings of the 15th international conference on Multimedia
Developing and analyzing intuitive modes for interactive object modeling
Proceedings of the 9th international conference on Multimodal interfaces
A robot learns to know people: first contacts of a robot
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Online learning for object recognition with a hierarchical visual cortex model
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Enabling Multimodal Human–Robot Interaction for the Karlsruhe Humanoid Robot
IEEE Transactions on Robotics
Grounding commonsense knowledge in intelligent systems
Journal of Ambient Intelligence and Smart Environments
Learning Novel Objects for Extended Mobile Manipulation
Journal of Intelligent and Robotic Systems
Grounding commonsense knowledge in intelligent systems
Journal of Ambient Intelligence and Smart Environments
Disambiguation in unknown object detection by integrating image and speech recognition confidences
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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Acquiring new knowledge through interactive learning mechanisms is a key ability for humanoid robots in a natural environment. Such learning mechanisms need to be performed autonomously, and through interaction with the environment or with other agents/humans. In this paper, we describe a dialogue approach and a dynamic object model for learning semantic categories, object descriptions, and new words acquisition for object learning and integration with visual perception for grounding objects in the real world. The presented system has been implemented and evaluated on the humanoid robot Armar III.