RynnWorld-4D: A World Model for Robotic Manipulation
_akhaliq · x · 2026-07-17
RynnWorld-4D introduces a 4D embodied world model designed specifically for robotic manipulation. The authors note that their approach features a three-branch DiT and joint cross-modal attention, trained on over 250 million RGB frames along with dense depth and optical flow annotations. Their ultimate goal is to evolve video generation models into actionable 4D world models for robotics.
Related event: Alibaba DAMO Academy Releases RynnWorld-4D for Robotics(2 posts)→
More from Embodied
- MW team shows Gen1 of MW-bot, a semi-humanoid home robot built for pantry storage and ceiling rails — CyberRobooo · 2026-07-21
- Kunlun Spins Out Riemann Dynamics, Unveils World Action Model for Robotics — 0xAllen_ · 2026-07-21
- BrainCo demos near-real-time bionics without implants and claims 85% lower prosthetic cost — TrueOrange9944 · 2026-07-21
- OpenAI’s $230 CodexMicro sold out, and users are already cloning it with Stream Decks — APPSO · 2026-07-21
- Xiaomi-Robotics-1 shows robot motion improves more from data than bigger models — The Decoder · 2026-07-21
- HarmoHOI generates multi-view hand-object videos and aligned 3D motion in one diffusion model — cn-scut · 2026-07-21