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Título

Collaborative Multi-Robot Localisation with Qualitative Information

AutorPerico, Danilo H.; Santos, Paulo E.; Bianchi, Reinaldo A.C.; López de Mántaras, Ramón
Palabras claveOPRA
Oriented Point Algebra
QSR
Qualitative Spatial Reasoning
Fecha de publicación11-jul-2016
EditorAssociation for the Advancement of Artificial Intelligence
Citación29th International Workshop on Qualitative Reasoning (IJCAI 2016), 11th, 2016, New York, USA.W36, p. 77-84.
ResumenThe goal of this work is to develop a collaborative communication system of spatial perceptions for vision-based multirobot systems using qualitative spatial reasoning, where the representation of the domain is built upon the perspective of the Elevated Oriented Point Algebra (EOPRA) and the reasoning itself is made by a combination between the Oriented Point Algebra (OPRA) and a quantitative triangulation. The motivation of using qualitative information is to obtain a level of abstraction closer to the human categorisation of space and, also, to have a more effective way of interaction between robots and humans. Results allowed us to conclude that the method proposed is an effective way to address the high-level communication between only-robots agents or between robots and humans by using some spatial prepositions. Copyright 2016 Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved
URIhttp://hdl.handle.net/10261/155821
Identificadoresuri: https://ivi.fnwi.uva.nl/tcs/QRgroup/qr16/
Aparece en las colecciones: (IIIA) Comunicaciones congresos
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