RaySt3R was accepted to NeurIPS! Check out the HuggingFace demo for image to 3D in cluttered scenes huggingface.co/spaces/bartd...

Bart Duisterhof@bardienus.bsky.social · last yr.

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. rayst3r.github.io

In "hearing the slide"👂 (led by @yuemin-mao.bsky.social ) we estimate *loss* of contact with a contact microphone, and use it to learn dynamic constraints.⚡ It allows moving multiple intricate objects🍷 efficiently, even objects that would otherwise be hard to grasp. fast-non-prehensile.github.io

Yuemin Mao@yuemin-mao.bsky.social · last yr.

🤖📦 Want to move many items FAST with your robot? Use a tray. But at high speeds, objects may fall off 💥. Introducing our new method: it hears sliding 🎧, learns dynamic friction 🥌, and plans time-optimized motions to transport objects 🚀. fast-non-prehensile.github.io/ 🧵1/7

For which the code is also available github.com/naver/pow3r

Thanks Christian for the advertisement. github link: github.com/naver/dune

GitHub - naver/dune: Code repository for "DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers"

Code repository for "DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers" - naver/dune

github.com

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. rayst3r.github.io

The Best Student Paper Award goes to MASt3R-SfM! #3DV2025

🎉Excited to share that our paper was a finalist for best paper at #HRI2025! We introduce MOE-Hair, a soft robot system for hair care 💇🏻💆🏼 that uses mechanical compliance and visual force sensing for safe, comfortable interaction. Check our work: moehair.github.io @cmurobotics.bsky.social 🧵1/7

MUSt3R: Multi-view Network for Stereo 3D Reconstruction Yohann Cabon, Lucas Stoffl, Leonid Antsfeld, Gabriela Csurka, Boris Chidlovskii, Jerome Revaud, @vincentleroy.bsky.social tl;dr: make DUSt3R symmetric and iterative+multi-layer memory mechanism->multi-view DUSt3R arxiv.org/abs/2503.01661

Great news, CMU's Center for Machine Learning and Health (CMLH) decided to fund another year of our research! If you're a PhD student at CMU, consider applying for the next iterations of the fellowship - the funding is generous and relatively unconstrained :)

CMU Robotics Institute@cmurobotics.bsky.social · 2y ago

Congrats to Ph.D. students Angela Chen and Bardienus (Bart) Duisterhof, who both received Generative AI in Healthcare fellowships from the Center for Machine Learning and Health! Read about their research and the fellowship: www.ri.cmu.edu/two-ri-ph-d-...

Watch Professor Jeff Ichnowski's RI seminar talk: "Learning for Dynamic Robot Manipulation of Deformable and Transparent Objects" 🦾🤖 @jeff-ichnowski.bsky.social closed out our Fall seminar series. Keep an eye out for the Spring schedule in the new year! www.youtube.com/watch?v=DvvF...

RI Seminar : Jeffrey Ichnowski : Learning for Dynamic Robot Manipulation of Deformable...

YouTube video by CMU Robotics Institute

youtube.com

Intro Post Hello World! I'm a 2nd year Robotics PhD student at CMU, working on distributed dexterous manipulation, accessible soft robots and sensors, sample efficient robot learning, and causal inference. Here are my cute robots: PS: Videos are old and sped up. They move slower in real-world :3

My growing list of #computervision researchers on Bsky. Missed you? Let me know. go.bsky.app/M7HGC3Y

Welcome to all new arrivals here on Bluesky! :) Here's a starter pack of people working on computer vision. go.bsky.app/PkAKJu5

After my general computer vision starter pack is now full (150/150 entries reached), here is one specific to 3D Vision: go.bsky.app/Cfm9XFe

Check out this work by my lab mates: learning dynamic tasks using a soft robotic hand!

@ycyao.bsky.social · 2y ago

Can soft robots rapidly spin pens like humans?🤔 We’ve shown that soft robot hands can master the dynamic tasks of pen spinning—no hours of GPU training or complex sim-to-real needed! Check out soft-spin.github.io. 🤖✍️ @cmurobotics.bsky.social . 1/5🧵.

Hello world! I'm a PhD student at CMU in robotics, at the intersection of vision and robot manipulation.