Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2072-2076.
Abstract
In human-robot interaction (HRI) it is essential that the robot interprets and reacts to a human's utterances in a manner that reflects their intended meaning. In this paper we present a collection of novel techniques that allow a robot to interpret and execute spoken commands describing manipulation goals involving qualitative spatial constraints (e.g. put the red ball near the blue cube). The resulting implemented system integrates computer vision, potential field models of spatial relationships, and action planning to mediate between the continuous real world, and discrete, qualitative representations used for symbolic reasoning.
@inproceedings{ijcai2007p334,
title = {Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction},
author = {Brenner, Michael and Hawes, Nick and Kelleher, John D. and Wyatt, Jeremy L.},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2072--2076},
year = {2007},
url = {https://ijcai.org/proceedings/2007/334},
}
TY - CPAPER TI - Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction AU - Brenner, Michael AU - Hawes, Nick AU - Kelleher, John D. AU - Wyatt, Jeremy L. T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2072 EP - 2076 UR - https://ijcai.org/proceedings/2007/334 ER -Copied
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