JD open-sources EgoLive: 1,680-hour egocentric dataset for humanoid robots
CyberRobooo · x · 2026-08-14
JD has open-sourced EgoLive, a large-scale egocentric dataset recording real-world human tasks, aimed at humanoid robot learning.
It contains 1,680 hours of high-fidelity binocular video at 60fps, 65,866 data segments, and 346 distinct tasks, with data drawn from real business scenarios across retail, logistics, healthcare, and more. The post links to the project website and tech report.
Related event: JD Open-Sources EgoLive: 1,680 Hours of First-Person Video for Embodied AI(2 posts)→
More from Embodied
- Robot shows up at Costco to fetch the famous $1.50 hotdog — majidmanzarpour · 2026-10-16
- 15 Leju Kuavo humanoid robots run 2 months at Hangzhou auto-parts line, 98% success rate — CyberRobooo · 2026-10-16
- Baidu to give 1,000+ Hong Kong residents free robotaxi rides in city-first public trial — Baidu_Inc · 2026-10-16
- Auki demos spatial harness: robots and devices share spatial context via AR — broodsugar · 2026-10-16
- Tesla's 2-DOF car becomes 6-DOF flying demo — easier control problem than humanoids — micoolcho · 2026-10-16
- XREAL Aura, Android XR glasses powered by Gemini, named a TIME Best Invention of 2026 — DuRuofei · 2026-10-16