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. linktr.ee/cmuroboticsins… Pittsburgh, PA USA Joined January 2013-
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Thrilled that @NVIDIA_Robotics selected us among the first to test the new NV platform! 🙌 Huge thanks to NVIDIA and Jensen Huang for the generous gift of a #JetsonThor Dev Kit to @CMUAirLab. We’ve already run #MACVO on Thor at high resolution while keeping real-time performance
Leveraging robotics in agriculture can help build a resilient future. In the latest episode of Where What If Becomes What's Next, @CMU_Robotics professor George Kantor shares his insights from two decades of pioneering work in agricultural robotics. 🎧 cmu.is/Podcast-S2-Ep11
We have released our code here: github.com/wmn-231314/dif… Training code: ✅ Evaluation code: ✅ Model Checkpoints: ✅
We have released our code here: github.com/wmn-231314/dif… Training code: ✅ Evaluation code: ✅ Model Checkpoints: ✅ https://t.co/q713A4FBgk
Huge thanks to @NVIDIARobotics and CEO Jensen Huang for gifting a new Jetson AGX Thor Developer Kit to @AirLabCMU at @CMU_Robotics! It's an incredibly powerful and energy efficient new platform for humanoid robotics! We're excited to take it for a spin! nvda.ws/47MRtKj
Eight CMU Ph.D. students received the @SoftBank–@Arm Fellowship to support research at the intersection of AI and human collaboration. 👏 The program builds on CMU’s relationship with Keio University, part of a $110 million effort to advance AI research. cmu.edu/news/stories/a…
Congratulations to Senior Systems Scientist Matt Travers and his students for winning "Best Academic/Research Institute Technology Demonstration" at the 2025 Ground Vehicles Systems Engineering and Technology Symposium (GVSETS)!🔥 #CMUrobotics
🚀 ASAP is now FULLY open-source! 🚀 ✅ Humanoid RL motion tracking & delta actions ✅ Motion retargeting to any humanoid ✅ ASAP Benchmark motions + pretrained policies ✅ Sim2Sim & Sim2Real ready — run ASAP in sim or on your G1 robot! 🔗 github.com/LeCAR-Lab/ASAP…
CMU hacking team the Plaid Parliament of Pwning pwns again, wins fourth straight and record ninth overall DEF CON Capture-the-Flag title cylab.cmu.edu/news/2025/08/1…
SCS researchers will contribute to a new National Science Foundation AI Research Institute to develop artificial intelligence assistants capable of trustworthy, sensitive and context-aware interactions with people. cs.cmu.edu/news/2025/aria…
Robots may one day work in homes, helping with chores like unloading the dishwasher. But before they can put the forks where they belong, they need to learn how to open a drawer. Enter ArticuBot: a policy that helps robots open diverse articulated objects bit.ly/4lmfP0K
NASA has tapped a lunar rover built at CMU to advance our understanding of water on the moon as it autonomously explores the lunar surface. MoonRanger will be aboard a 2029 mission to carry a neutron spectrometer and demonstrate new levels of autonomous navigation on the moon.
@CMU_Robotics faculty member Zachary Manchester received an @NSF Faculty Early Career Development Program award to develop better modeling, simulation and control algorithms that will improve how robots interact with their environments. ➡️cs.cmu.edu/news/2025/manc…
Modern AI is confined to the digital world. At Skild AI, we are building towards AGI for the real world, unconstrained by robot type or task — a single, omni-bodied brain. Today, we are sharing our journey, starting with early milestones, with more to come in the weeks ahead.…
We’ve been building quietly — starting tomorrow, we go live. Here’s a teaser of what we did before Skild AI. It has shaped what’s coming next. 07/29. Stay tuned.
Check it out! 🚀 "Diffusion Beats Autoregressive in Data-Constrainted Settings" They show that Diffusion LLMs outperform Autoregressive LLMs, when allowed to train for multiple epochs! #CMUrobotics Work from Mihir Prabhudesai @mihirp98 & Mengning Wu @WuMengning54261
Check it out! 🚀 "Diffusion Beats Autoregressive in Data-Constrainted Settings" They show that Diffusion LLMs outperform Autoregressive LLMs, when allowed to train for multiple epochs! #CMUrobotics Work from Mihir Prabhudesai @mihirp98 & Mengning Wu @WuMengning54261
Congrats to Changliu Liu, who received International Federation of Automatic Control (IFAC) Robotics Outstanding Young Researcher Award! 🎉 The award recognizes the critical applications of her work in human-robot collaborations. Read more below! 👇 bit.ly/4f2bGNM
✈️ RI's Mitch Fogelson and Zac Manchester put their research to the test in zero gravity as part of a NASA Flight Opportunities campaign with @GoZeroG! They worked to create foldable structures for space deployment 🚀 #CMUrobotics Read and watch below: bit.ly/414Nt3w
Excited to share recent work with @kaihuac5 and @RamananDeva where we learn to do novel view synthesis for dynamic scenes in a self-supervised manner, only from 2D videos! webpage: cog-nvs.github.io arxiv: arxiv.org/abs/2507.12646 code (soon): github.com/Kaihua-Chen/co…
SCS faculty members Deepak Pathak and Abhinav Gupta are co-founders of Skild AI, which was featured last night on CBS News! cbsnews.com/video/over-90-…
Recent work has seemed somewhat magical: how can RL with *random* rewards make LLMs reason? We pull back the curtain on these claims and find out this unexpected behavior hinges on the inclusion of certain *heuristics* in the RL algorithm. Our blog post: tinyurl.com/heuristics-con…
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