Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction
IEEE First International Conference on Cognitive Systems and Information Processing (CSIP 2012),
Editors: Fuchun Sun and Dewen Hu and Huaping Liu,
Volume 215,
pages 811--819,
doi: 10.1007/978-3-642-37835-5_70
- Dec 2012
Associated documents :
The development of humanoid robots for helping humans as
well as for understanding the human cognitive system is of significant
interest in science and technology. How to bridge the large gap between
the needs of a natural human-robot interaction and the capabilities of
recent humanoid platforms is an important but open question. In this
paper we describe a system to teach a robot, based on a dialogue in
natural language about its real environment in real time. For this, we
integrate a fast object recognition method for the NAO humanoid robot
and a hybrid ensemble learning mechanism. With a qualitative analysis
we show the effectiveness of our system.
@InProceedings{HFSSTWW12,
author = {Heinrich, Stefan and Folleher, Pascal and Springstübe, Peer and Strahl, Erik and Twiefel, Johannes and Weber, Cornelius and Wermter, Stefan},
title = {Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction},
booktitle = {IEEE First International Conference on Cognitive Systems and Information Processing (CSIP 2012)},
editors = {Fuchun Sun and Dewen Hu and Huaping Liu},
number = {},
volume = {215},
pages = {811--819},
year = {2012},
month = {Dec},
publisher = {Springer Berlin},
doi = {10.1007/978-3-642-37835-5_70},
}