CMU Robotics Institute

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CMU Robotics Institute

CMU Robotics Institute

@CMU_Robotics

Pioneering the future of robotics since 1979. We’re transforming industries and everyday life through cutting-edge innovation and world-class education.

Pittsburgh, PA USA Katılım Ocak 2013
278 Takip Edilen23K Takipçiler
CMU Robotics Institute retweetledi
Carnegie Mellon University
Carnegie Mellon University@CarnegieMellon·
Excited Carnegie Mellon students had the opportunity to meet with Jensen Huang, @nvidia Founder and CEO. Jensen engaged firsthand with the cutting-edge research being conducted by CMU students. There was a snake robot, a robotic arm — even a robobuggy.
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NVIDIA
NVIDIA@nvidia·
Congratulations to our Founder and CEO Jensen Huang on receiving an honorary Doctor of Science and Technology degree from @CarnegieMellon, as well as the CMU Class of 2026 graduates. 🎓
Carnegie Mellon University@CarnegieMellon

Jensen Huang, Founder and CEO of @NVIDIA, delivered the keynote at Carnegie Mellon’s 2026 Commencement and received an honorary Doctor of Science and Technology degree. His work has helped shape modern computing and the era of #AI. More from Commencement: cmu.edu/news/stories/a…

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Carnegie Mellon University
Carnegie Mellon University@CarnegieMellon·
This morning, Jensen Huang, Founder and CEO of @NVIDIA, met with Carnegie Mellon students ahead of Commencement. The visit created an opportunity for students to connect and share their work. Watch his 2026 remarks: cmu.edu/commencement/
Carnegie Mellon University tweet mediaCarnegie Mellon University tweet mediaCarnegie Mellon University tweet mediaCarnegie Mellon University tweet media
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CMU Robotics Institute retweetledi
Carnegie Mellon University
Carnegie Mellon University@CarnegieMellon·
Time to celebrate the Class of 2026! 🎓❤️ Grads, families and friends: Share your photos from Carnegie Mellon commencement with the #CMUGrad hashtag!
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CMU Robotics Institute
CMU Robotics Institute@CMU_Robotics·
World2Rules learns patterns of risky aircraft behavior from real airport operations & incident data, then explains warnings in terms humans can easily understand ✈️ 🧑‍✈️ It's designed to work alongside existing prediction systems to enhance safety! ri.cmu.edu/?p=151221&prev…
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CMU Robotics Institute
CMU Robotics Institute@CMU_Robotics·
Leslie Kaelbling, Panasonic Professor of Computer Science & Engineering @MIT, gave the last seminar of the semester! You can find her talk, "The Role of Rationality in Modern Robotics", on our YT channel along with a playlist of all other seminars ⬇️ bit.ly/4wbW9TU
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CMU Robotics Institute
CMU Robotics Institute@CMU_Robotics·
Register for the next CMU Vision-Language-Navigation challenge, which will conclude with a workshop at #IROS2026! Teams will develop systems that allow robots to interpret natural-language instructions and navigate unfamiliar environments. Learn more ⬇️ ri.cmu.edu/next-phase-of-…
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CMU Robotics Institute retweetledi
Carnegie Mellon University
Carnegie Mellon University@CarnegieMellon·
Carnegie Mellon robots debuted their skills on the #NFLDraft stage! 🤖 'Simon' from CMU's Robomechanics Lab and 'Maggie' from CMU spinout HEBI Robotics were drafted to showcase Pittsburgh's innovation in #robotics.
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Zhiqiu Lin
Zhiqiu Lin@ZhiqiuLin·
Before AI can generate professional videos, it needs to see like a professional. We spent a year with 100+ content creators teaching AI to describe video like a filmmaker would. Introducing CHAI: Critique-based Human-AI Oversight for Building a Precise Video Language [CVPR'26 Highlight, Top 3%]. Try prompting a video generator for a dolly zoom, dutch angle, point of view, or camera roll. Most fall back to the same bland defaults: a push-in, a level shot, a third-person view. Why? These techniques require a language of cinema that current models rarely speak. We built that language: 1️⃣ Precise specification: 5-aspect structured captions co-designed with professional cinematographers covering subject, scene, motion, spatial, and camera dynamics 2️⃣ Scalable oversight: LLMs draft captions, humans critique what's wrong and how to fix it 3️⃣ Post-training recipes: Qwen3-VL-8B surpasses Gemini-3.1 and GPT-5 4️⃣ Video generation: fine-tuned Wan follows 400-word cinematic prompts with precise control Here's how each works 🧵 Work led by CMU and Harvard with @chancharikm, @du_yilun, and @RamananDeva. 📄 Paper: huggingface.co/papers/2604.21… 🌐 Site: linzhiqiu.github.io/papers/chai/
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CMU Robotics Institute
CMU Robotics Institute@CMU_Robotics·
CMU researchers, with @fzeyneptemel as co-lead, aim to develop a swallowable smart pill that reduces stress hormones by stimulating nerves, all without surgery or drugs! They recently received funding through @DARPA to support its CoasterChase program. bit.ly/4u0BDDG
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CMU Robotics Institute
CMU Robotics Institute@CMU_Robotics·
CMU researchers created LiveSplats to allow fans to follow sports events from any angle, despite being miles from the arena. 🏀 ⚽ LiveSplats combines virtual reality technology and advanced AI-powered rendering to make this possible. Learn more! 👇 ri.cmu.edu/moving-beyond-…
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CMU Robotics Institute
CMU Robotics Institute@CMU_Robotics·
Hear from Raj Reddy, Moza Bint Nasser University Professor, who recently gave a keynote lecture for National Robotics Week. 🤖 👀 You can find his talk, "The Future of AI", on the RI YouTube channel: youtube.com/watch?v=ydnOSM…
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CMU Robotics Institute
CMU Robotics Institute@CMU_Robotics·
Congrats to the RI faculty who earned a top seed grant in the @LaudeInstitute Moonshot Competition! 👏 The team’s project, ARISTOS, will develop an AI-powered virtual craft master capable of guiding users through complex physical tasks in real time. cmu.edu/news/stories/a…
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CMU Robotics Institute
CMU Robotics Institute@CMU_Robotics·
With Sim2Reason, AI moves closer to how science itself progresses: not by memorizing answers, but by discovering the laws that generate them. 🚀🧠 Read more about the team’s work: ri.cmu.edu/virtual-worlds…
Mihir Prabhudesai@mihirp98

What if AI learned physics the way Newton did – by experiencing it? We built Sim2Reason: train LLMs inside virtual worlds governed by real physics laws, zero human annotation. Result: +5–10% improvement on International Physics Olympiad, zero-shot. 🧵

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CMU Robotics Institute
CMU Robotics Institute@CMU_Robotics·
SCS and @Cornell developed a new assistive feeding algorithm, Wearable Approach for Feeding With Learned Bite Timing (WAFFLE), that can be integrated with robotic feeding devices to predict when someone is ready for their next bite! ri.cmu.edu/predicting-the…
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