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.

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The International Journal of Robotics Research (2017).

@article{IJRR17-khandelwal, title={BWIBots: A platform for bridging the gap between AI and human--robot interaction research}, 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}, journal={The International Journal of Robotics Research}, url="http://www.cs.utexas.edu/users/ai-lab?khandelwal:ijrr17", year={2017} }