DocumentCode :
1934150
Title :
Human-humanoid robot interaction system based on spoken dialogue and vision
Author :
Mu, Yanhua ; Yin, Yixin
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol., Beijing, China
Volume :
6
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
328
Lastpage :
332
Abstract :
In this paper, a natural human-humanoid robot interaction system is proposed. In this system, the type of task is determined with naïve Bayes classifier firstly, and then most of the conditions which are prerequisite to the execution of task are calculated with frame-based reasoning method. The initial position of task object must be calculated with vision. First, the hand position is localized with temporal differencing algorithm. Then, the object region can be determined with the pointing direction of hand. Finally, the reference position of task object in world coordinate system is calculated with binocular vision system.
Keywords :
Bayes methods; human-robot interaction; humanoid robots; robot vision; Bayes classifier; binocular vision system; frame-based reasoning method; human-humanoid robot interaction system; robot vision; spoken dialogue; Europe; Planning; Speech; human-robot interaction; humanoid robot; naïve Bayes classifier;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5563829
Filename :
5563829
Link To Document :
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