Deepak Pathak Demonstrates In-Context Learning for Robotics with One-Shot Video Prompts
deepakpathak · x · 2026-08-26
Deepak Pathak demonstrated in-context learning capabilities for robotics. The method allows robots to perform long-horizon tasks exceeding 10 minutes using just a single video prompt, without fine-tuning and without seeing the tasks during pre-training. This approach aims to build intelligence from the foundations up.
More from Embodied
- WEDGE paper generates training environments conditioned on navigation agent failures — _akhaliq · 2026-10-16
- 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
- NVIDIA RTX Spark PC launches tomorrow with global events and strong early reviews — NVIDIA Blog · 2026-10-16
- SlipSense fuses pressure and vibration for 23ms zero-shot robotic slip detection — micoolcho · 2026-10-16