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

Elliott Hauser
School of Information
Adam Klivans
Computer Science
Luis Sentis
Aerospace Engineering and Engineering Mechanics
Samantha Shorey
Communication Studies
Keri Stephens
Communication Studies
Roberto Martin-Martin
Computer Science

News

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.
tomlinson illustration
Aug. 21, 2023
Beware of the Robot Dog Next Door?
Boston Dynamics is known for its viral videos where its autonomous robots dance, tackle obstacle courses or decorate for the holidays. There are even blooper reels that show how much work is required to make the robots perform even the simplest of tasks.
AI Screen
May 1, 2023
Can AI be Regulated?
Artificial intelligence systems are permeating into everyday life faster than ever before. That's why thousands of researchers who develop AI recently wrote an open letter pleading for help regulating the very technology they're creating. But can AI be regulated? Peter Stone, professor of computer science and Good Systems founding member, and Stuart Russell, professor of computer science at UC Berkeley, weigh in.

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Chonkar, Parth, Geethika Hemkumar, Huihai Wang, Daksh Dua, Shikhar Gupta, Yao-Cheng Chan, Justin Hart, Elliott Hauser, Reuth Mirsky, Joydeep Biswas, Junfeng Jiao, and Peter Stone. “Look to My Lead: How Does a Leash Affect Perceptions of a Quadruped Robot?” In Proceedings of the ICRA Workshop on Social Robot Navigation: Advances and Evaluation. 2022.
Karnan, Haresh, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Soeren Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, and Peter Stone. “Socially Compliant Navigation Dataset (SCAND).” Texas Data Repository, 2022.
Karnan, Haresh, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Soeren Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, and Peter Stone. “Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation,” IEEE Robotics and Automation Letters, October 2022.
Morgenstein, Kyle, Junfeng Jiao, and Luis Sentis. “Learning Contact-Based Navigation in Crowds,” 2023. ACM/IEEE International Conference on Human-Robot Interaction, March 2023.
Park, Jin-Soo, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, and Peter Stone. “Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways,” In Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023), May 2023.
Trainum, Katie, Rachel Tunis, Bo Xie, and Elliott Hauser. “Robots in Assisted Living Facilities: Scoping Review.” JMIR Aging 6 (March 6, 2023).
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