4D Predictive World Model for Robot Planning (ICML 2026)
du_yilun · x · 2026-07-07
The authors presented work at ICML 2026 on building a 4D predictive world model for robot planning: constructing a compact 3D latent space that can directly decode 3D scenes and infer gripper poses, leveraging 3D priors to generalize to novel views.
Related event: RynnWorld-4D: Embodied World Model for Robot Manipulation(3 posts)→
More from Embodied
- Inside Ant Group's play at WAIC-style expo: AI and hardware vendors settle into new division of labor — 智东西 · 2026-09-11
- Amazon and Google sold 600M+ smart speakers, so why no AGI-era successor? — julianlehr · 2026-09-11
- ECCV26 Oral: Flow Matching Enables Single-Stage Multi-View Point Cloud Registration — ducha_aiki · 2026-09-11
- Polish developers build iPhone app that detects nearby Meta smart glasses — Low-Honeydew6483 · 2026-09-11
- Ant's Afu health AI hits 150M users, unveils AI+hardware health alliance at Bund Summit — APPSO · 2026-09-11
- Johns Hopkins Launches Full-Stack Hands-on Robot Learning Class with SO-101 Arm Kits — _krishna_murthy · 2026-09-11