DocumentCode :
117421
Title :
On using humanoid robot imagination to perform the Shortened Token Test
Author :
Victores, Juan G. ; Morante, Santiago ; Jardon, Alberto ; Balaguer, Carlos
Author_Institution :
Univ. Carlos III de Madrid, Madrid, Spain
fYear :
2014
fDate :
18-20 Nov. 2014
Firstpage :
172
Lastpage :
172
Abstract :
Summary form only given. Mental models allow us to imagine how something may be, only by its description. This video presents a use-case demonstration of a high-dimensional geometrical system for acquiring mental models for robots, called Robot Imagination System (RIS). RIS generates models of objects based on their descriptive words, even prior to their perception. This is achieved by using an inference algorithm that computes the fusion of features corresponding to descriptive words, allowing to imagine an object whose description has never been presented before. As shown in the video, there is a previous training process where visual data is combined with semantic information. Each keyword creates an n-dimensional instance of the object in the feature space. Feature inference is treated as the intersection of hyperplanes generated from the keywords in the feature space. These hyperplanes extend the meaning of keywords. With a previous basic algorithm, we explored the basis for robotic imagination through mental models. Now, the extended algorithm allows context detection by introducing a previous clustering step combined with cluster bigram co-occurrences, and an analysis of keyword point cloud principal components. In the video, a experiment is performed using the Shortened Token Test.
Keywords :
control engineering computing; humanoid robots; inference mechanisms; pattern clustering; principal component analysis; sensor fusion; RIS; cluster bigram co-occurrence; clustering step; descriptive words; feature fusion; feature inference; high-dimensional geometrical system; humanoid robot imagination; hyperplane generation; inference algorithm; keyword point cloud principal component analysis; mental models; robot imagination system; semantic information; shortened token test; visual data; Algorithm design and analysis; Clustering algorithms; Cognitive science; Computational modeling; Humanoid robots; Inference algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanoid Robots (Humanoids), 2014 14th IEEE-RAS International Conference on
Conference_Location :
Madrid
Type :
conf
DOI :
10.1109/HUMANOIDS.2014.7041355
Filename :
7041355
Link To Document :
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