Extracting Robotic Action Signals from Egocentric Videos Using Only Open-Source Models
gui_penedo · x · 2026-08-07
Macrodata Labs released a new research blog exploring how to recover missing action signals (how hands move through 3D space) from egocentric videos using only open-source models. This is a crucial step for leveraging vast amounts of web video to train Vision-Language-Action (VLA) models.
Related event: Open-Source Pipeline Extracts Robot Actions from Egocentric Video(2 posts)→
More from Embodied
- Persona.AI Demos Gen 1 Humanoid Robot Performing Welding — Distinct-Question-16 · 2026-08-07
- MAD Society Hosts 2-Hour Physical AI Speed Round — Rewkang · 2026-08-07
- Global Factories Installed 542K Industrial Robots in 2024, Stock Reaches 4.7M — PeterDiamandis · 2026-08-07
- Tesla FSD v14 on HW3 Still Spooked by Shadows, Forcing Hardware Upgrades — chrisfirst · 2026-08-07
- PocketJS Brings Full pi Harness to ESP32: Embedded Devices Can Now Self-Evolve — dotey · 2026-08-07
- EgoHumanoid Framework: Egocentric Human Demos Boost Robot Generalization by 51% — micoolcho · 2026-08-07