Gieselmann, S. and Hanheide, Marc and Wrede, B. (2010) Remembering interaction episodes: an unsupervised learning approach for a humanoid robot. In: Conference of 2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010, 6-8 December 2010, Nashville, TN.
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In this paper we will present a new approach to give a robot the capability to recognize already seen people and to remember details about past interactions. These details are time, length, location(GPS) and involved people of one interaction. Furthermore all features of this system work unsupervised. This means that the robot itself decides e.g. when and which person is important to remember or when an interaction starts. Out of these collected data additional information can be learned. For example a social network is build up which contains how often different people were seen together in the same interaction. Â©2010 IEEE.
|Item Type:||Conference or Workshop contribution (Paper)|
|Additional Information:||Conference Code: 83761|
|Keywords:||Humanoid robot, New approaches, Social Networks, Anthropomorphic robots|
|Subjects:||G Mathematical and Computer Sciences > G440 Human-computer Interaction|
G Mathematical and Computer Sciences > G400 Computer Science
|Divisions:||College of Science > School of Computer Science|
|Deposited By:||Marc Hanheide|
|Deposited On:||08 Apr 2013 16:34|
|Last Modified:||08 Apr 2013 16:34|
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