@inproceedings{sarthou-etal-2019-semantic,
title = "Semantic Spatial Representation: a unique representation of an environment based on an ontology for robotic applications",
author = "Sarthou, Guillaume and
Clodic, Aur{\'e}lie and
Alami, Rachid",
editor = "Bhatia, Archna and
Bisk, Yonatan and
Kordjamshidi, Parisa and
Thomason, Jesse",
booktitle = "Proceedings of the Combined Workshop on Spatial Language Understanding ({S}p{LU}) and Grounded Communication for Robotics ({R}obo{NLP})",
month = jun,
year = "2019",
address = "Minneapolis, Minnesota",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-1606",
doi = "10.18653/v1/W19-1606",
pages = "50--60",
abstract = "It is important, for human-robot interaction, to endow the robot with the knowledge necessary to understand human needs and to be able to respond to them. We present a formalized and unified representation for indoor environments using an ontology devised for a route description task in which a robot must provide explanations to a person. We show that this representation can be used to choose a route to explain to a human as well as to verbalize it using a route perspective. Based on ontology, this representation has a strong possibility of evolution to adapt to many other applications. With it, we get the semantics of the environment elements while keeping a description of the known connectivity of the environment. This representation and the illustration algorithms, to find and verbalize a route, have been tested in two environments of different scales.",
}
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%0 Conference Proceedings
%T Semantic Spatial Representation: a unique representation of an environment based on an ontology for robotic applications
%A Sarthou, Guillaume
%A Clodic, Aurélie
%A Alami, Rachid
%Y Bhatia, Archna
%Y Bisk, Yonatan
%Y Kordjamshidi, Parisa
%Y Thomason, Jesse
%S Proceedings of the Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP)
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota
%F sarthou-etal-2019-semantic
%X It is important, for human-robot interaction, to endow the robot with the knowledge necessary to understand human needs and to be able to respond to them. We present a formalized and unified representation for indoor environments using an ontology devised for a route description task in which a robot must provide explanations to a person. We show that this representation can be used to choose a route to explain to a human as well as to verbalize it using a route perspective. Based on ontology, this representation has a strong possibility of evolution to adapt to many other applications. With it, we get the semantics of the environment elements while keeping a description of the known connectivity of the environment. This representation and the illustration algorithms, to find and verbalize a route, have been tested in two environments of different scales.
%R 10.18653/v1/W19-1606
%U https://aclanthology.org/W19-1606
%U https://doi.org/10.18653/v1/W19-1606
%P 50-60
Markdown (Informal)
[Semantic Spatial Representation: a unique representation of an environment based on an ontology for robotic applications](https://aclanthology.org/W19-1606) (Sarthou et al., RoboNLP 2019)
ACL