• Classified by Topic • Classified by Publication Type • Sorted by Date • Sorted by First Author Last Name • Classified by Funding Source •
BWIBots: A platform for bridging the gap between AI and human--robot interaction research.
Piyush
Khandelwal, Shiqi Zhang, Jivko
Sinapov, Matteo Leonetti, Jesse Thomason,
Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir
Lifschitz, J. K. Aggarwal, Raymond Mooney, and Peter
Stone.
The International Journal of Robotics Research, 36(5--7):635–59, 2017.
Accompanying videos
at https://youtu.be/2UJG4-ejVww
Recent progress in both AI and robotics have enabled the development of general purpose robot platforms that are capable of executing a wide variety of complex, temporally extended service tasks in open environments. This article introduces a novel, custom-designed multi-robot platform for research on AI, robotics, and especially human–robot interaction for service robots. Called BWIBots, the robots were designed as a part of the Building-Wide Intelligence (BWI) project at the University of Texas at Austin. The article begins with a description of, and justification for, the hardware and software design decisions underlying the BWIBots, with the aim of informing the design of such platforms in the future. It then proceeds to present an overview of various research contributions that have enabled the BWIBots to better (a) execute action sequences to complete user requests, (b) efficiently ask questions to resolve user requests, (c) understand human commands given in natural language, and (d) understand human intention from afar. The article concludes with a look forward towards future research opportunities and applications enabled by the BWIBot platform.
@article{IJRR17-khandelwal,
author = {Piyush Khandelwal and Shiqi Zhang and Jivko Sinapov and Matteo Leonetti and Jesse Thomason and Fangkai Yang and Ilaria Gori and Maxwell Svetlik and Priyanka Khante and Vladimir Lifschitz and J. K. Aggarwal and Raymond Mooney and Peter Stone},
title = {{BWI}Bots: A platform for bridging the gap between AI and human--robot interaction research},
journal = {The International Journal of Robotics Research},
year = {2017},
volume="36",
number="5--7",
pages="635--59",
doi = {10.1177/0278364916688949},
abstract = {
Recent progress in both AI and robotics have enabled the
development of general purpose robot platforms that are capable of executing
a wide variety of complex, temporally extended service tasks in open
environments. This article introduces a novel, custom-designed multi-robot
platform for research on AI, robotics, and especially human–robot
interaction for service robots. Called BWIBots, the robots were designed as
a part of the Building-Wide Intelligence (BWI) project at the University of
Texas at Austin. The article begins with a description of, and
justification for, the hardware and software design decisions underlying
the BWIBots, with the aim of informing the design of such platforms in the
future. It then proceeds to present an overview of various research
contributions that have enabled the BWIBots to better (a) execute action
sequences to complete user requests, (b) efficiently ask questions to
resolve user requests, (c) understand human commands given in natural
language, and (d) understand human intention from afar. The article
concludes with a look forward towards future research opportunities and
applications enabled by the BWIBot platform.},
wwwnote={Accompanying videos at <a href="https://youtu.be/2UJG4-ejVww">https://youtu.be/2UJG4-ejVww</a>},
}
Generated by bib2html.pl (written by Patrick Riley ) on Tue Nov 19, 2024 10:24:39