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Peter Stone

Peter Stone

Truchard Foundation Chair in Computer Science and University Distinguished Teaching Professor

Texas RoboCup Team on KXAN

NAO Humanoid robots playing soccer in the Intelligent Robotics lab in the UT Computer Science Gates Dell Complex.

08/12/2024 - Are AI robots the future of sports? These UT students think soAustin (KXAN) — A team of UT students, led by Professor Peter Stone, recently triumphed at the RoboCup Home competition in the Netherlands, where their AI-powered robots autonomously played soccer. The students believe their research is paving the way for a future where robots can compete against humans in sports, revolutionizing the field of AI robotics.

Transforming Human-Robot Interaction Through Mood Inducing Music

Young person lounging back with a boombox under their right foot listening to music.

05/06/2024 - Music has always had the power to stir our emotions, from the exhilaration of a fast-paced rock anthem to the melancholy of a soulful ballad. But, could the music we listen to also affect how we make decisions, especially in our interactions with robots? This intriguing question lies at the heart of a study conducted by UT Austin Assistant Professor Elad Liebman and Professor Peter Stone.

Could a Robot Win the World Cup? UT Experts Explore Future of Automatons

Three Nao humanoid robots lined up on RoboCup practice field.

04/19/2024 - UT Computer Science is at the forefront of robotics innovation, aiming to propel the field forward. Highlighted in a recent article by KXAN, experts like Dr. Peter Stone and Justin Hart showcased their work, including advancements in generative AI, which is integral to tasks ranging from domestic chores to humanoid robot soccer, a part of the RoboCup Federation's ambitious goal of a robot team winning the World Cup by 2050.

Unlocking the Power of Bilevel Optimization: BOME

A night view of a city scene with multiple highway overpasses overlapping.

11/08/2023 - In mathematical optimization, a new approach is emerging, promising to transform how we tackle intricate challenges across various domains. Consider the complexity of bilevel optimization, a problem that has confounded experts in machine learning, engineering, and other fields. Recent advances are providing new insights into this intricate landscape, presenting a streamlined technique that has the potential to significantly enhance our ability to navigate these complex problems.

New “Essentials of AI” Course Launches This Fall

White letters spell the abbreviation AI with bands of color surrounding

08/11/2023 - The Department of Computer Science and the Good Systems program present a one semester-credit-hour course titled “Essentials of AI for Life and Society.” Experts in artificial intelligence predict that AI-powered technologies will continue to become more and more a part of our everyday lives. It will affect how we work, spend our leisure time, make policy decisions and make sense of the world around us. And yet, most of us don’t really understand how the technologies work or what their potential risks and benefits are.

New Partnership Will Scale Up Investment in Ethical AI Research and Innovation

Kenneth R. Fleischmann, Will Griffin, Mikel Rodriguez and Alice Xiang at the 2022 Good Systems Symposium. Credit: Stacey Ingram Kaleh.

08/05/2022 - The University of Texas at Austin and the MITRE Corporation, a nonprofit dedicated to solving problems for a safer world, have formed a partnership that includes accelerating innovative ethical artificial intelligence (AI) research currently underway by interdisciplinary teams of researchers who are part of UT Austin's Good Systems research grand challenge.

AI Bests Expert Human Players at Video Game

race cars rounding corner on race track

02/23/2022 - An artificial intelligence system made history recently by beating a human world champion in Sony's popular video racing game, Gran Turismo Sport. The technological feat, which made the cover of the journal Nature, involved an AI system designed in part by three University of Texas at Austin computer science Ph.D. alumni and professor Peter Stone.