Texas Robotics @texas_robotics
Texas Robotics unites robotics efforts at @UTAustin with goals to enable deeper collaborations that accelerate and grow research programs. linktr.ee/texasrobotics Joined March 2021-
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Texas Robotics retweeted
🚀 Generating synthetic training data for code LLM in robotics? 🤖 Frustrated with too many programs that look correct but actually invalid? Introducing Robo-Instruct — a simulator-augmented framework that: ✅ Verifies programs against robot API constraints ✅ Aligns…
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Texas Robotics retweeted
RoboCup 2025 at Salvador was a massive learning experience to witness the performance of robots in the real world In RoboCup@Home DSPL, our Team UT Austin Villa@Home finished 2nd place with good competition from @HMA_wakamatsu, RoboCanes-VISAGE, and rUNSWeep @texas_robotics
RoboCup 2025 at Salvador was a massive learning experience to witness the performance of robots in the real world In RoboCup@Home DSPL, our Team UT Austin Villa@Home finished 2nd place with good competition from @HMA_wakamatsu, RoboCanes-VISAGE, and rUNSWeep @texas_robotics https://t.co/qmpG1lNj8z
Texas Robotics retweeted
Texas Robotics retweeted
Congrats to Jiaxun Cui, the 29th Ph.D. graduate from my lab, on the defense of her dissertation entitled "Communication and Generalization in Multi-Agent Learning". Pictured here with me and the rest of her thesis committee (Amy Zhang, Yuke Zhu, Sandeep Chinchali, Yuandong Tian)
Texas Robotics retweeted
Listen to a short podcast with IFML leaders Adam Klivans, Alex Dimakis (@AlexGDimakis) and Sanjay Shakkottai. The team discusses IFML's success in its first 5 years and how the renewed investment from @NSF will advance #GenAI research across industries. ➡️ifml.institute/node/542
Texas Robotics retweeted
Miss me? See you in Brazil Robocup on 7.15!
Texas Robotics retweeted
3D print tactile sensors anywhere inside your fin-ray fingers! We present FORTE - a solution to sensorize compliant fingers from inside with high resolution force and slip sensing. 🌐merge-lab.github.io/FORTE/ With precise and responsive tactile feedback, FORTE can gently handle…
Texas Robotics retweeted
Our collaborative paper with @nrg_ut published in @IeeeTro. Here, we propose a closed-chain approach for generating joint trajectories for a generic robotic manipulator in real time. @texas_robotics @utmechengr @CockrellSchool ieeexplore.ieee.org/document/11049… m.youtube.com/watch?v=Ukv93h…
Texas Robotics retweeted
Imagine a future where robots are part of our daily lives — How can end users teach robots new tasks by directly showing them, just like teaching another person? 🧵👇
Texas Robotics retweeted
Meet Casper👻, a friendly robot sidekick who shadows your day, decodes your intents on the fly, and lends a hand while you stay in control! Instead of passively receiving commands, what if a robot actively sense what you need in the background, and step in when confident? (1/n)
Texas Robotics retweeted
If you’re attending RSS in LA, feel free to check out my RSS Pioneers lightening talk (~11:30-11:35am) and/or poster session! I'll share my past work and future vision on robot learning for and from human interactions. @RSSPioneers @RoboticsSciSys @ECEILLINOIS @texas_robotics
Texas Robotics retweeted
🧠 Dr. Peter Stone (@TexasScience, @UTCompSci, @texas_robotics) joins leading voices in AI for a panel moderated by @IBM’s Francesca Rossi. A thoughtful look at how hype shapes perception — and what we should really expect from AI.
🧠 Dr. Peter Stone (@TexasScience, @UTCompSci, @texas_robotics) joins leading voices in AI for a panel moderated by @IBM’s Francesca Rossi. A thoughtful look at how hype shapes perception — and what we should really expect from AI.
Texas Robotics retweeted
Our latest work on synergistic design of a flexible pedicle screw and a steerable drilling robot for an enhanced spinal fixation just published in IEEE #TBME : ieeexplore.ieee.org/document/11029… @IEEEembs @texas_robotics @utmechengr @CockrellSchool
Texas Robotics retweeted
[1/n] Can LLM Agents learn to communicate and coordinate in natural language in driving scenarios 🚗 through self-play interactions? Our recent research shows the potential for such learning; interestingly, there is evidence that they develop concise protocols for collaboration!…
Texas Robotics retweeted
Real-world RL, where robots learn directly from physical interactions, is extremely challenging — especially for high-DoF systems like mobile manipulators. 1⃣ Long-horizon tasks and large action spaces lead to difficult policy optimization. 2⃣ Real-world exploration with…
Our students are shaping the future of rehabilitation. 🦿🌟 At #RehabWeek2025, @UTAustin's SAHM Lab student researchers shared groundbreaking work in prosthetics, biomechanics & assistive tech. Proud of our students! 🤘Read about their work: bit.ly/3HfQdEo @RehabWeekOrg
Texas Robotics retweeted
🎉Congrats to Adam, his advisors @PeterStone_TX and @JosiahHanna and their colleagues for winning the RoboCup-themed paper award at #ICRA2025! 🏆 The award was presented by the IEEE RAS TC on RoboCup during the Roboethics 2.0 workshop. More about the paper below ⬇️
Texas Robotics retweeted
UT Austin has released proposed guidelines for responsible adoption of AI in teaching and learning — while seeking feedback from students, faculty and staff across campus. The framework reflects UT’s commitment to ethical, value-driven innovation. 🔗 bit.ly/4dtCTbA
Texas Robotics retweeted
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