AirLab
@AirLabCMU
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We develop perception, control, & planning algorithms for robot autonomy | @CMU_Robotics | https://t.co/gWjGiUaBeP | https://t.co/9wO6amxfFc
Pittsburgh, PA
Joined June 2014
RT @Nik__V__: Want to learn how to empower 🤖 with real-time scene understanding and exploration capabilities?. Catch Me, @hocherie1 & @QiuY….
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RT @Nik__V__: Catch our team @Parvkpr @PatrikarJay @AirLabCMU presenting and demoing ViSafe at #RSS2025 tomorrow!. We'll be showing our pay….
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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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It’s been an incredible journey—making robotics not just impactful, but also fun and full of discovery!.
🐞A bug led to a RA-L paper🤪. Our paper AirIO is started when we accidentally used raw IMU data in body frame—and it worked better. Turns out, keeping body-frame observability helps generalization. No control inputs. No extra sensors. Just better IO.
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We're excited to share that five papers from AirLab 🚀have been accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025!. Papers are on the thread:
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Very surprised by the quality of podcast style overviews generated by @NotebookLM. The RayFronts team tried them out and we were amazed by the quality and accuracy of the explanation. Some couldn't tell if it was AI generated. Should the AirLab start its own podcast channel? 📷
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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 @OmarAlama: RayFronts code has been released !. 🤖 Guide your robot with semantics within & beyond depth. 🖼️ St….
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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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RT @QiuYuhengQiu: On the morning before our presentation, we tested MAC-VO in the crowded and challenging environment of the conference hal….
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RT @QiuYuhengQiu: 🔥Best Paper Award at #ICRA2025 .Thrilled to share that our paper MAC-VO has been awarded the 𝘽𝙚𝙨𝙩 𝘾𝙤𝙣𝙛𝙚𝙧𝙚𝙣𝙘𝙚 𝙋𝙖𝙥𝙚𝙧 𝘼𝙬𝙖𝙧𝙙….
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RT @QiuYuhengQiu: Thanks all the co-author @YutianChen03, Zihao, Wenshan and @smash0190. Also the entire team in the AirLab @ShiboZhaoSLA….
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RT @QiuYuhengQiu: Very excited that MAC-VO is nominated as Best Paper Finalist at hashtag #ICRA2025!. We’re planning a live demo at the con….
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🔗 Learn more: 📄 Read the paper: 🎥 Watch the demo: #ViSafe #DroneSafety #DAA #EdgeAI #AutonomousDrones #CollisionAvoidance #AviationSafety @CMU_Robotics @CarnegieMellon.
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Tested across both real-world flights and digital twin simulations, ViSafe consistently ensures reliable self-separation—without GPS, ADS-B, or external communication. A step toward scalable, certifiable safety in autonomous airspace.
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