Living and Working With Robots

 

The widespread use of service robots has been predicted to be “just around the corner” for decades. 
This project seeks to overcome the prevailing technical and social hurdles to deploying these robots by building and studying them in communities where they will be used rather than just in laboratories and warehouses. The team will begin its work designing robots for use on UT Austin’s campus in university libraries and other facilities. The goal is to design these robots in a way that upholds human values, does not cause unintentional harm, and improves campus quality of life and productivity. With these elements in place, this project will help create a new model for human-machine partnerships.
 

Team Members


News


Computer Science department chair Peter Stone moderates a panel discussion about the future of AI, machine learning and robotics at the inaugural Texas Symposium on Machine Learning, Responsible AI, and Robotics. Seated next to him, left to right: Good Systems chair Ken Fleischmann, Texas Robotics director José del R. Millán and Machine Learning Lab director Adam Klivans.
March 20, 2026
Leaders in AI, Robotics and Ethical Innovation Come Together at UT Austin

In March, more than 600 leaders in academia, industry, government, nonprofits and the greater Austin community gathered at UT Austin for the inaugural Texas Symposium on Machine Learning, Responsible AI, and Robotics — organized in partnership by Texas Robotics, the Machine Learning Lab and Good Systems.

Planet Texas 2050 chair Paola Passalacqua (center), in a scene from a video about the Urban Integrated Field Lab Southeast Texas (SETx-IFL) project. Credit: UT Austin
July 5, 2024
Cultivating Interdisciplinary Collaboration
The University of Texas at Austin’s Bridging Barriers research grand challenges have demonstrated the value and impact made possible by interdisciplinary collaboration.
tower from east
Sept. 20, 2023
Good Systems Awards Funding to Advance Ethical AI Research in Core Project Areas
Good Systems has awarded funding to five projects that investigate the ethical implications of AI technologies in society in the areas of racial justice, surveillance and privacy, smart cities, and community-robot interaction.

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