A Research Platform for Multi-Robot Dialogue with Humans

Matthew Marge, Stephen Nogar, Cory J. Hayes, Stephanie M. Lukin, Jesse Bloecker, Eric Holder, Clare Voss

Abstract
This paper presents a research platform that supports spoken dialogue interaction with multiple robots. The demonstration showcases our crafted MultiBot testing scenario in which users can verbally issue search, navigate, and follow instructions to two robotic teammates: a simulated ground robot and an aerial robot. This flexible language and robotic platform takes advantage of existing tools for speech recognition and dialogue management that are compatible with new domains, and implements an inter-agent communication protocol (tactical behavior specification), where verbal instructions are encoded for tasks assigned to the appropriate robot.
Anthology ID:
N19-4023
Volume:
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Editors:
Waleed Ammar, Annie Louis, Nasrin Mostafazadeh
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
132–137
Language:
URL:
https://aclanthology.org/N19-4023
DOI:
10.18653/v1/N19-4023
Bibkey:
Cite (ACL):
Matthew Marge, Stephen Nogar, Cory J. Hayes, Stephanie M. Lukin, Jesse Bloecker, Eric Holder, and Clare Voss. 2019. A Research Platform for Multi-Robot Dialogue with Humans. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pages 132–137, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
A Research Platform for Multi-Robot Dialogue with Humans (Marge et al., NAACL 2019)
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PDF:
https://preview.aclanthology.org/naacl-24-ws-corrections/N19-4023.pdf
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