Skild's S1 learns new robot tasks from a single video demo via NVIDIA Physical AI
Scobleizer · x · 2026-09-12
The Humanoid Labs showcased Skild's S1 robot model learning a new task from a single video demo, with NVIDIA's Physical AI stack covering everything from training through real-world deployment. Fast generalization from demos to execution underpins Skild's rapid commercial expansion.
More from Embodied
- DONIC hits 86.79% on bimanual dexterous tracking, crushing prior SOTA's 9.43% — liuziwei7 · 2026-10-27
- Bedrock Robotics raises $600M as its fully autonomous excavators do paid work on live job sites — Sethwinterroth · 2026-10-27
- AW-0 hits 80.8% on RoboTwin tasks, beating strongest baseline by 16 points — trevordarrell · 2026-10-27
- AW-0's code stream fixes world model prediction: picks mango where baseline grabs apple — trevordarrell · 2026-10-27
- AW-0 runs at 230ms on a single RTX 5090, 2.4x faster than autoregressive code planning — trevordarrell · 2026-10-27
- AW-0 debuts: one generative world action model plans in code, predicts, and controls robots — trevordarrell · 2026-10-27