Kyle Stachowicz (@kylestachowicz) 's Twitter Profile
Kyle Stachowicz

@kylestachowicz

Robot learning @berkeley_ai @physical_int

ID: 1032995357238673408

linkhttp://kylestach.github.io calendar_today24-08-2018 14:17:40

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Kyle Stachowicz (@kylestachowicz) 's Twitter Profile Photo

I'm at #RSS2024 in Delft this week - I'll be presenting my work on risk-sensitive RL (x.com/KyleStachowicz…) Wednesday and some new work on online RL+robot foundation models @ the lifelong learning workshop Friday! If you're at RSS and want to chat about RL, let me know!

Kyle Stachowicz (@kylestachowicz) 's Twitter Profile Photo

Check out this work w/Carlo Sferrazza Oier Mees Josh Jones Sergey Levine Pieter Abbeel: fine-tuning VLA policies with multimodal inputs (vision, touch, audio) to generate sensory descriptions + robot actions! I’ve been pretty excited about VLA models lately, more to come soon :)

Karl Pertsch (@karlpertsch) 's Twitter Profile Photo

Excited to release FAST, our new robot action tokenizer! 🤖 Some highlights: - Simple autoregressive VLAs match diffusion VLA performance - Trains up to 5x faster - Works on all robot datasets we tested - First VLAs that work out-of-the-box in new environments! 🧵/

Kyle Stachowicz (@kylestachowicz) 's Twitter Profile Photo

R1's RL findings are great news for reasoning but grim for robotics. All the major takeaways (ground-truth reward, great base models, grouped rollouts from same initial state, sample-inefficient on-policy algos) are really hard to translate to the physical world.

Kyle Stachowicz (@kylestachowicz) 's Twitter Profile Photo

The π0-FAST model is also included in this release (both base and a model finetuned for DROID), check it out if you've got access to a DROID setup!

Jie Wang (@jiewang_zjui) 's Twitter Profile Photo

Excited to play with Pi0, it is so cool! We just config DROID, download ckpt & inference code, and it works without any tuning, what a impressive moment

Kyle Stachowicz (@kylestachowicz) 's Twitter Profile Photo

Check out what we've been working on at π! x.com/physical_int/s… - zero-shot generalization scales with diverse data (!!!) - FAST pre-training+diffusion fine-tuning gives the best of both worlds And lots more - check out our blog post and paper!

Check out what we've been working on at π! x.com/physical_int/s…
 - zero-shot generalization scales with diverse data (!!!)
 - FAST pre-training+diffusion fine-tuning gives the best of both worlds
And lots more - check out our blog post and paper!
Physical Intelligence (@physical_int) 's Twitter Profile Photo

We've added pi-05 to the openpi repo: pi05-base, pi05-droid, pi05-libero. Also added PyTorch training code!🔥 Instructions and code here: github.com/Physical-Intel… This is an updated version of the model we showed cleaning kitchens and bedrooms in April: pi.website/blog/pi05