BWIBots: A platform for bridging the gap between AI and human–robot interaction research. (June 2017)

• Record Type: Journal Article
• Authors: Khandelwal, Piyush; Zhang, Shiqi; Sinapov, Jivko; Leonetti, Matteo; Thomason, Jesse; Yang, Fangkai; Gori, Ilaria; Svetlik, Maxwell; Khante, Priyanka; Lifschitz, Vladimir; Aggarwal, J. K.; Mooney, Raymond; Stone, Peter
• Is Part Of: International journal of robotics research. Volume 36:Number 5/7(2017)
• Page Start: 635
• Page End: 659
• Publication Date: 2017-06
• Subjects: Artificial intelligence -- human-robot interaction -- multi-robot system -- robot task planning -- natural language dialog system -- indoor autonomous navigation; Robots -- Periodicals; Robots, Industrial -- Periodicals; 629.89205
• DOI: 10.1177/0278364916688949
• Languages: English
• ISSNs: 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.