Using social cues to estimate possible destinations when driving a robotic wheelchair

Jesús Arturo Escobedo Cabello 1 Anne Spalanzani 1 Christian Laugier 1
1 E-MOTION - Geometry and Probability for Motion and Action
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : Approaching a group of humans is an important navigation task. Although many methods have been proposed to avoid interrupting groups of people engaged in a conversation, just a few works have considered the proper way of joining those groups. Research in the field of social sciences have proposed geometric models to compute the best points to join a group. In this article we propose a method to use those points as possible destinations when driving a robotic wheelchair. Those points are considered together with other possible destinations in the environment such as points of interest or typical static destinations defined by the user's habits. The intended destination is inferred using a Dynamic Bayesian Network that takes into account the contextual information of the environment and user's orders to compute the probability for each destination.
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Communication dans un congrès
IEEE/RSJ International Conference on Intelligent Robots and Systems, Sep 2014, Chicago, United States. 2014
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Dernière modification le : mercredi 11 avril 2018 - 01:54:27
Document(s) archivé(s) le : mardi 25 novembre 2014 - 23:50:17

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Jesús Arturo Escobedo Cabello, Anne Spalanzani, Christian Laugier. Using social cues to estimate possible destinations when driving a robotic wheelchair. IEEE/RSJ International Conference on Intelligent Robots and Systems, Sep 2014, Chicago, United States. 2014. 〈hal-01053894〉

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