Spatial Intelligence- spatial reasoning foundation models, scene generation, digital twin scene reconstruction
physics enabled 3D /synthetic data rendering
🔥 @saturdayrobotic × @siggraph 2026 Birds of a Feather was a full house. 🔥 Packed room, packed discussions, packed with hot takes.
A huge thank you to all of our speakers and everyone who joined the conversation on World Models for Robotics: Bridging Graphics, Simulation, and Physical Intelligence.
Some themes that sparked the most discussion:
• Neural rendering is shifting from images for humans to representations for machines, with learnable light transport, neural materials, and rendering pipelines optimized for downstream AI.
• Differentiable simulation is becoming practical, as new surrogate-gradient methods dramatically reduce memory and compute while preserving optimization quality for long-horizon physics.
• Deployable humanoids require full-stack intelligence—agentic interfaces, semantic safety, CBF-guided control, and unified whole-body policies—not just stronger foundation models.
• Across graphics, simulation, robotics, and physical AI, the boundaries are disappearing. The future stack is increasingly shared.
Thanks again to everyone who made this one of the most energetic @siggraph discussions we’ve hosted. Looking forward to the next @saturdayrobotic Reading Club! 🚀
#SIGGRAPH2026 #Robotics #WorldModels #PhysicalAI #EmbodiedAI #ComputerGraphics #Simulation #DifferentiableRendering #DifferentiableSimulation #Humanoids #AI
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