CMU Robotics Institute
@CMU_Robotics
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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
Joined January 2013
The team from the RI @LeCARLab and the @nvidia GEAR robotics research lab recently presented ASAP's capabilities at #RSS2025 🤖🚀🦾. The article on this incredible work is out now!:
🚀 Can we make a humanoid move like Cristiano Ronaldo, LeBron James and Kobe Byrant?. YES!. 🤖 Introducing ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills. Website: Code:
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RT @CarnegieMellon: Developed at @CMU_Robotics, this robotic arm can "feel" using sound. SonicBoom allows robots to use sound to sense obj….
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Congratulations to the DexWild team for their #RSS2025 Best Paper Award! 🦾🏅. DexWild is now open-source 💻➡️
Thrilled to have received Best Paper Award at the EgoAct Workshop at RSS 2025! 🏆. We’ll also be giving a talk at the Imitation Learning Session I tomorrow, 5:30–6:30pm. Come to learn about DexWild!. Work co-led by @mohansrirama, with @JasonJZLiu, @kenny__shaw, and @pathak2206.
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RT @HaoruXue: 🚀 Introducing LeVERB, the first 𝗹𝗮𝘁𝗲𝗻𝘁 𝘄𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗵𝘂𝗺𝗮𝗻𝗼𝗶𝗱 𝗩𝗟𝗔 (upper- & lower-body), trained on sim data and zero-shot deplo….
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RT @g_k_swamy: It was a dream come true to teach the course I wish existed at the start of my PhD. We built up the algorithmic foundations….
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RT @CarnegieMellon: @CMU_Robotics alum Jeremy Kubica is the engineering director for LINCC Frameworks, a joint initiative by CMU, the Unive….
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ViSafe’s vision-only approach offers a lightweight, passive alternative that maintains strong safety performance, enabling broader deployment on agile, resource-constrained platforms. ✈️👀 #CMUrobotics. Read the latest RI article covering the team's work!
🚀 Thrilled to present ViSafe, a vision-only airborne collision avoidance system that achieved drone-to-drone avoidance at 144 km/h. In an era of congested airspace and growing autonomy, reliable self-separation is paramount 🧵👇
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RT @Bw_Li1024: "Generalization means being able to solve problems that the system hasn't been prepared for.". Our latest work in #RSS2025 c….
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Congrats to RI Ph.D. Benjamin Attal, RI assistant professor Matthew O'Toole & co-authors from @UofT & @VectorInst for winning the CVPR 2025 Best Student Paper award! 🙌. Check out the winning work: "Neural Inverse Rendering from Propagating Light" 💡🏆.
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RT @g_k_swamy: Shortcut models enable scaling offline RL, both at train-time at test-time! We beat so many other algorithms on so many task….
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RT @YuchenZhan54250: Introducing UFM, a Unified Flow & Matching model, which for the first time shows that the unification of optical flow….
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RT @g_k_swamy: Say ahoy to 𝚂𝙰𝙸𝙻𝙾𝚁⛵: a new paradigm of *learning to search* from demonstrations, enabling test-time reasoning about how to r….
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Robots may struggle in cluttered scenes due to challenging occlusions 🤖🚧. RaySt3R is a new foundation model that predicts the full 3D geometry from a single view! 👇👇. #CMUrobotics.
Imagine if robots could fill in the blanks in cluttered scenes. ✨ Enter RaySt3R: a single masked RGB-D image in, complete 3D out. It infers depth, object masks, and confidence for novel views, and merges the predictions into a single point cloud.
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RT @GuanyaShi: Humanoids can run, parkour, dance, and fight nowadays, but can it serve🍺☕️ just like wheeled robots?. It could be hard - we….
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Congrats to Ioannis Gkioulekas for receiving the 2025 Bodossaki Distinguished Young Scientist award in "Applied Sciences and Technologies: Artificial Intelligence" 🏆. The award recognizes scholars of Greek descent for significant scientific progress! ⬇️.
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RT @haochenz_11: The 2nd CMU Vision-Language-Autonomy Challenge is now open for registration!🤖The challenge focuses on vision language navi….
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Congrats to Jiaoyang Li (@JiaoyangLi9) on receiving the NSF CAREER award! . Her work, “Environment Optimization for Large-Scale Multi-Agent Coordination: Models, Methods, and Applications” reimagines how environments are designed for robots! Learn more👇.
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RT @Junwon__Seo: How can robots avoid both known and unseen failures in the open world? Take Jenga: a tower can collapse in countless ways….
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