SkildAI Introduces S1: Robot Model That Learns Tasks From Single Video Example
xennygrimmato_ · x · 2026-08-26
SkildAI has introduced S1, a new foundation model for robotics. It features in-context learning capabilities, allowing it to learn 10-minute long tasks from just a single video prompt without any fine-tuning. The model operates in real-time. Mihir Parasnis noted that a video prompt acts as a much wider input channel compared to text for robotics.
More from Embodied
- Viral meme nails AI's irony: it can write symphonies but can't do the dishes — briannekimmel · 2026-10-16
- WEDGE turns navigation agents' own failures into targeted training worlds — mohitban47 · 2026-10-16
- Knödel Watch: animated vocabulary cards on ESP32-S3, open-sourced 4 days after unboxing — alexcovo_eth · 2026-10-16
- SlipSense fuses pressure and vibration for 23ms zero-shot robotic slip detection — micoolcho · 2026-10-16
- Stanford's Fei-Fei Li team open-sources OpenWAM, a unified world-action model framework for robots — jiqizhixin · 2026-10-16
- Robot folding leaderboard: GPT-6 Astra leads at 1349 Elo, Muse Wonder trails at 1034 — qinzytech · 2026-10-16