We pre-trained the same VLA on 100 hours of Human Archive’s OTS dataset and 100 hours of randomly sampled data from each of @microagi’s and @MeckaAI’s datasets on EgoVerse.
Overall, Human Archive data achieved the strongest results, with the highest overall task success rate. We observed particularly strong generalization to unseen objects.
Thread below 🧵👇
We’re scaling compute for our perception models and commercial deployments. The team is actively looking for creative ways to partner. Please reach out!
Really excited about this release. Doing proper evals of large scale data is often overlooked and it was amazing seeing the effort we put into high quality data having direct benefits on robotic policies. Looking forward to sharing more research soon 🚀
We benchmarked only 7 hours of Human Archive data against 4 widely used public datasets totaling 17 hours: HOT3D, H2O, HOI4D, and TACO.
The results:
Human Archive only: 85% task success | 65.6% task progress
4 public datasets: 57.5% task success | 52.5% task progress
Mixture of all 5: 60% task success | 56.3% task progress
It feels like in the last month, every week has been a massive week for robotics. It's amazing to see the rapid progress and early signs of robotics having a real impact in the world : )
Introducing OM-1, our first robot foundation model, zero-shot generalizing to any robot: table-top arms, industrial arms and humanoids.
- learned directly from human manipulation data
- no teleop/robot data
- close to human-level dexterity and efficiency
- multi-robot collab
@limbs_long Or a guy who is going through education with AI has an opinion that there needs to be a change in education and cares about the future, so he voices it?
@cobracommanduhr Moderna’s new personalized melanoma treatment. AI is used to analyze each patient’s tumor mutations and select the neoantigens used to design their individualized cancer therapy. It just succeeded in Phase 3. Happened like a month ago