07/13/2026 - UT Austin Villa, the award-winning robot soccer team from Texas Robotics, recently returned from Incheon, South Korea, where they competed in RoboCup 2026, the world’s largest and most prestigious robotics competition. The team, led by professors Peter Stone and Joydeep Biswas, is made up of three PhD students and three undergraduates.
06/18/2026 - The soccer field in UT Austin's Gates-Dell Complex is smaller than what you’d see in the FIFA World Cup. The goals are low, the turf a little worn, and the players are less than four feet tall. But don't let the modest setup fool you. What's happening here is university research that sits at the intersection of robotics and artificial intelligence. And year after year, the team proves that smaller, smarter autonomous systems can reach great heights.
04/16/2026 - In Brief: A woven bunny sculpture showcases research using algorithms to design complex 3D structures from simple strips of material. Weaving makes objects stronger and lighter, but designing intricate shapes by hand is too complex to scale. This work uses computation to precisely map how each strip should intersect, unlocking repeatable, efficient fabrication. The approach could enable lightweight aerospace parts, custom medical devices, and new manufacturing methods.
04/01/2026 - KXAN covers new technology created at UT that overcomes one of the biggest hurdles in robotics: sensitive touch.
03/30/2026 - What should be next for AI? That was the question on everyone’s mind at the recent Texas Symposium on Machine Learning, Responsible AI & Robotics, held here on the Forty Acres.
02/02/2026 - Imagine having a pair of smart glasses that don’t just record what you see, but truly understand it. Maybe you’re DIYing a leaky faucet, improving your tennis swing, or rehabbing a shoulder injury, and there’s an AI expert guiding you with real-time, personalized feedback.
01/22/2026 - In 2024, UT Austin launched the Center for Generative AI with a Texas-sized GPU computing cluster hailed as one of the largest in academia.
12/17/2025 - Digital modeling is one of the most widely used tools for bringing bodies to life in 3D. Created from thousands of everyday images and videos, 3D generative models employ artificial intelligence to help us understand the structure of animals and humans. These models are essential for a wide range of real-world applications, including biological research and surgical planning. Existing generative models, however, have limitations as they rely on training data that consists of fixed, typical skeletal structures—and nature is anything but typical.
07/29/2025 - Big news from UTCS: With renewed funding from the National Science Foundation, IFML researchers are expanding their work to make AI more accurate, reliable, and ready for the real world. This critical research will strengthen how AI systems function — and accelerate progress in science, technology, and workforce innovation.
07/23/2025 - Daehyeok Kim, an assistant professor in the Department of Computer Science at The University of Texas at Austin, has received a 2025 National Science Foundation (NSF) CAREER Award for his project “Toward Programmable NICs as Multi‑Tenant Cloud Resources.” The award provides $622,738 over five years to su