Dima Yanovsky

co-founder of prox | cs @mit

[Dima Yanovsky @yanovskyd]

@CieloDahy si

[Y Combinator @ycombinator]

Prox (@try_prox) builds digital co-workers for 3PLs and fulfillment centers - companies that store, pack, and ship for brands.

They automate the back-office operations layer that burns billions of labor hours across the industry.

[Dima Yanovsky @yanovskyd]

@gianlucabencomo @EfferenceAI congrats! cheap + robust depth camera is huge for robotics

[Dima Yanovsky @yanovskyd]

@mauriciopereir_ thank you for your work sir🤝

[Dima Yanovsky @yanovskyd]

1/4 We recreated a $200k teleoperation setup in VR for just ~$2k. Now we can collect more dextrous manipulation data in a single day (40 hrs/day) than any existing open dataset has ever collected.

[Dima Yanovsky @yanovskyd]

4/4 We currently have 5 Apple Vision Pros, which means our throughput is roughly 40 hours of teleoperation data per day. This means we can collect more data per day than any existing open dataset in this category has ever collected.

Here's how we did it: https://t.co/BJqZXVYvwY

[Dima Yanovsky @yanovskyd]

3/4 Not having those kinds of resources, we built an interface to teleoperate bimanual Shadow Hands in Apple Vision Pro. Robotics always starts with failure, so we spent weeks failing over and over again until we got the setup running smoothly at 30Hz.

[Dima Yanovsky @yanovskyd]

@emrshn13 I brought 808 domain back to life 🙂https://t.co/8a8eBXXa5C

[Dima Yanovsky @yanovskyd]

1/ I've created a detailed beginner-friendly guide on how to assemble a low-cost dextrous robotic hand for ~$450 using parts available entirely on Amazon. The hand utilizes a tendon-drive design with 17 DoF and can be easily teleoperated via webcam.

[Dima Yanovsky @yanovskyd]

@emrshn13 Doing a some rebranding. Check out
https://t.co/pLU8UhOWcR

[Dima Yanovsky @yanovskyd]

@0xaddi Congrats🫡

[Dima Yanovsky @yanovskyd]

@turbofakesmile hell yea

[Dima Yanovsky @yanovskyd]

@ArthurMacwaters @MIT off to SF to work on robotics ML

[Dima Yanovsky @yanovskyd]

we outta here 🫡 @MIT

[Dima Yanovsky @yanovskyd]

@arnavwad @MIT 🫡

[Dima Yanovsky @yanovskyd]

@DrLaschowski @MIT дякую !!

[Dima Yanovsky @yanovskyd]

@turbofakesmile @MIT hell ya🫡

[Dima Yanovsky @yanovskyd]

@aridutilh @MIT ty!!

[Dima Yanovsky @yanovskyd]

5/ App Store: https://t.co/E3vBhWzoE1
Project website: https://t.co/KQ6kvcXOmu

The DART project was developed at the Improbable AI Lab at MIT CSAIL, under @younghyo_park and @pulkitology.

DM me if you want to try in-person teleoperation in Vision Pro. I’ll be in SF this summer

[Dima Yanovsky @yanovskyd]

1/Robotics foundation models need internet-scale data to train, and we bet simulation datasets will help reach this scale. It's time to build tools enabling this. So, we're releasing first public app for robot data collection in Vision Pro and a platform to curate datasets

[Dima Yanovsky @yanovskyd]

4/ https://t.co/2u7Yggd0D1 runs beautifully on mobile devices as well, since it is powered by MuJoCo compiled to WebAssembly. And this isn’t just a video recording!! It’s the actual physics engine running in your browser, replaying the demonstrations in real time.