Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction
- ,
- Pascal Folleher,
- Peer Springstübe,
- Erik Strahl,
- Johannes Twiefel,
- Cornelius Weber
- University of Hamburg
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review
Open access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 811-819 (9 pages)Publication milestones
- Published - 01/12/2012
Publication status
Published - 01/12/2012
Volume
215Publisher
Springer, United States, GermanyBook series
- Book series name: Advances in Intelligent Systems and Computing
Publication IDs
- Scopus: 84885049831
Host publication title
Proceedings of the 2012 IEEE First International Conference on Cognitive Systems and Information Processing (CSIP2012)Host publication editors
- Fuchun Sun
- Dewen Hu
- Huaping Liu
Abstract
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.
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