Khandelwal, P, Zhang, S, Sinapov, J et al. (10 more authors) (2017) BWIBots: A platform for bridging the gap between AI and human–robot interaction research. International Journal of Robotics Research, 36 (5-7). pp. 635-659. ISSN 0278-3649
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017, The Author(s). This is an author produced version of a paper published in International Journal of Robotics Research. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Artificial intelligence, human-robot interaction, multi-robot system, robot task planning, natural language dialog system, indoor autonomous navigation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Feb 2017 10:43 |
Last Modified: | 16 Jan 2018 07:11 |
Published Version: | https://doi.org/10.1177/0278364916688949 |
Status: | Published |
Publisher: | SAGE Publications |
Identification Number: | 10.1177/0278364916688949 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:112584 |