The UT Austin Villa@Home team competes in the RoboCup@Home Domestic Standard Platform League using the Toyota Human Support Robot. The league aims to develop domestic service robot technology and evaluates performance in a set of benchmark tests in a realistic home environment. The team is a collaboration between PIs and students in the Computer Science, Mechanical Engineering and Aerospace Engineering departments at the University of Texas at Austin. Over the past three years, we have constructed a framework intended to act as a comprehensive domestic service robot system, spanning multiple robot platforms. As instantiated in RoboCup@Home, our goal is to develop a single system which competes in every round, rather than a suite of software tailored to each round. In the realization of this goal, we have ported our RoboCup@Home code back to the Building-Wide Intelligence (BWI) infrastructure. As instantiated in BWI, the goal of this project is to deploy a service robot in our computer science department which responds to the day-to-day needs of the building's occupants, and is considered a part of the fabric of our department.
Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin Hart, Luis Sentis, and Peter Stone. In AAAI Fall Symposium on Artificial Intelligence and Human-Robot Interaction for Service Robots in Human Environments (AI-HRI 2019), November 2019.
Yuqian Jiang, Nick Walker, Justin Hart, and Peter Stone. In Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), July 2019.
Justin Hart, Rishi Shah, Sean Kirmani, Nick Walker, Kathryn Baldauf, Nathan John, and Peter Stone. In Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 2018.
Justin Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond Mooney, and Peter Stone. In Proceedings of the AAAI Fall Symposium on Interactive Learning in Artificial Intelligence for Human-Robot Interaction, Washington, DC, USA, October 2018.
Yuqian Jiang, Nick Walker, Minkyu Kim, Nicolas Brissonneau, Daniel S. Brown, Justin Hart, Scott Niekum, Luis Sentis, and Peter Stone. In Proceedings of the AAAI Fall Symposium on Reasoning and Learning in Real-World Systems for Long-Term Autonomy, Washington, DC, USA, October 2018.