Semantic modelling of space

Pronobis, Andrzej and Jensfelt, Patric and Sjöö, Kristoffer and Zender, Hendrik and Kruijff, Geert-Jan M. and Martinez Mozos, Oscar and Burgard, Wolfram (2010) Semantic modelling of space. In: Cognitive systems. Cognitive Systems Monographs, 8 . Springer Berlin Heidelberg, pp. 165-221. ISBN 9783642116940

Full content URL: http://dx.doi.org/10.1007/978-3-642-11694-0_5

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Item Type:Book Section
Item Status:Live Archive

Abstract

A cornerstone for robotic assistants is their understanding of the space they are to be operating in: an environment built by people for people to live and work in. The research questions we are interested in in this chapter concern spatial understanding, and its connection to acting and interacting in indoor environments. Comparing the way robots typically perceive and represent the world with findings from cognitive psychology about how humans do it, it is evident that there is a large discrepancy. If robots are to understand humans and vice versa, robots need to make use of the same concepts to refer to things and phenomena as a person would do. Bridging the gap between human and robot spatial representations is thus of paramount importance.

Keywords:Computational Intelligence, Artificial Intelligence, Robotics, Statistical Physics, Computer Imaging, Vision, Pattern Recognition, Cognitive Psychology
Subjects:G Mathematical and Computer Sciences > G700 Artificial Intelligence
G Mathematical and Computer Sciences > G760 Machine Learning
H Engineering > H671 Robotics
Divisions:College of Science > School of Computer Science
ID Code:9414
Deposited On:12 May 2013 17:40

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