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) 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)},
 	 number = {},
 	 volume = {215},
 	 pages = {811--819},
 	 year = {2012},
 	 month = {Dec},
 	 publisher = {Springer Berlin},
 	 doi = {10.1007/978-3-642-37835-5_70}, 
 }