AirLab (@AirLabCMU) / X

AirLab

531 posts

AirLab

@AirLabCMU

We develop perception, control, & planning algorithms for robot autonomy | @CMU_Robotics | instagram.com/airlabcmu | youtube.com/airlab

Pittsburgh, PA

Joined June 2014

AirLab
@AirLabCMU
May 18
Proud to see Co-Me accepted to CVPR 2026 🎉 Now supporting MapAnything 1.1, Depth Anything 3, and Pi3 - and 2× faster than the original, up to 21.5× speedup on long VGGT sequences. Congrats to the team!
Yutian Chen
@YutianChen03
May 18
All your favorite 3D models — now faster with Co-Me. 🎉 Accepted to CVPR 2026, Co-Me now supports more 3D foundation models: MapAnything 1.1, Depth Anything 3, and Pi3. Same simple confidence-guided token merging idea — now accelerating even more 3D reasoning models. 👇
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AirLab
@AirLabCMU
Jun 18, 2025
It’s been an incredible journey—making robotics not just impactful, but also fun and full of discovery!
Yuheng Qiu
@QiuYuhengQiu
Jun 18, 2025
🐞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. air-io.github.io
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AirLab
@AirLabCMU
Jun 17, 2025
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:
AirLab
@AirLabCMU
Jun 16, 2025
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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AirLab
@AirLabCMU
May 8, 2025
🚀 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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