The Decoder·2d agoBlack Forest Labs launches FLUX 3 Action, an open robotics AI model#black-forest-labs#flux#flux-3-action 2 sources1
arXiv cs.AI / cs.LG / cs.CL·2d agoUnderwater C3-JEPA: An Object-Centric Cross-View World Model for ROV Salvage#world-model#jepa#rovAI research
Hugging Face daily papers·3d agoAgent-Editing World Model: Rethinking World Modeling for LLM Agents#llm-agents#world-model#state-editing 2 sources
arXiv cs.AI / cs.LG / cs.CL·3d agoFrozen Flows Forget: Diagnosing and Restoring Lost Motion in a Latent-flow World Model#world-model#latent-flow#dartAI research1
Hugging Face daily papers·4d agoInternW0: A Foundational Physical World Model for Efficient Real-World Interactions#internw0#world-model#robotics
Hugging Face daily papers·4d agoUranus: Building the Next-Generation Simulation Infrastructure for Embodied AI#embodied-ai#robotics#simulation
arXiv cs.AI / cs.LG / cs.CL·5d agoWorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory#world-model#video-generation#3d-awareAI research 2 sources
arXiv cs.AI / cs.LG / cs.CL·5d agoDexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation#robotics#world-model#tactileAI research
Hugging Face daily papers·6d agoThink Like a World Model, Act Like a VLA: Distilling World-Model Representations into Compact Robot Policies#vla#world-model#robotics
Hugging Face daily papers·12d agoZing-0.5: Toward Playable Worlds with Real-Time Joint Action and Text Control#5b#autoregressive#open-weights
Hugging Face daily papers·14d agoAlayaVista: Streaming World Modeling from Panoramic States to Perspective Video#dataset#latent-representation#panoramic
Hugging Face daily papers·17d agoPelican-Sim 1.0: A General World Model Simulator for Embodied Intelligence#embodied-ai#mixture-of-experts#robotics
Hugging Face daily papers·23d agoGE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation#embodied-ai#ge-act#manipulation
Hugging Face daily papers·29d agoScaling Automatic Research Agents via World Models#post-training#reinforcement-learning#research-agents1