Dondrup, Christian and Hanheide, Marc and Bellotto, Nicola (2014) A probabilistic model of human-robot spatial interaction using a qualitative trajectory calculus. In: AAAI Spring Symposium: "Qualitative Representations for Robots", 24-26 March 2014, Stanford University, CA, USA.
13523 Dondrup2014.pdf - Whole Document
13523 AAAI2014_paper_100_words.pdf - Supplemental Material
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|Item Type:||Conference or Workshop contribution (Presentation)|
|Item Status:||Live Archive|
In this paper we propose a probabilistic model for Human-Robot Spatial Interaction (HRSI) using a Qualitative Trajectory Calculus (QTC). In particular, we will build on previous work representing HRSI as a Markov chain of QTC states and evolve this to an approach using a Hidden Markov Model representation. Our model accounts for the invalidity of certain transitions within the QTC to reduce the complexity of the probabilistic model and to ensure state sequences in accordance to this representational framework. We show the appropriateness of our approach by using the probabilistic model to encode different HRSI behaviours observed in a human-robot interaction study and show how the models can be used to classify these behaviours reliably. Copyright Â© 2014, Association for the Advancement of Artificial Intelligence. All rights reserved.
|Keywords:||Robotics, Qualitative spatial representation, Qualitative trajectory calculus, Human-robot spatial interaction, Hidden Markov models, Calculations, Probabilistic models, Spatial interaction, State sequences|
|Subjects:||H Engineering > H670 Robotics and Cybernetics|
G Mathematical and Computer Sciences > G700 Artificial Intelligence
G Mathematical and Computer Sciences > G400 Computer Science
|Divisions:||College of Science > School of Computer Science|
|Deposited On:||12 Mar 2014 13:28|
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