

Physical AI Symposium
βππΌ The Physical AI Symposium 2026 brings together researchers, engineers, and entrepreneurs pioneering the intersection of AI, spatial computing, and embodied interaction.
π«‘ Powered by Phygtl, Inc. in collaboration with leading universities and industry partners, the Assembly serves as a forum for innovation and applied research around the emerging paradigm of
+ Large World Models (LWM)
+ AI systems capable of understanding real-world dynamics and human context.
π― Through keynotes, collaborative sessions, and immersive showcases, participants will share breakthroughs in 3D vision, multi-agent reasoning, and human-AI co-creation.
βPHYSICAL AI SYMPOSIUM 2026 BY PHYGTL
βAGENDA
βFrom World Models to Living Experience
βPalo Alto, California
βThursday, April 23, 2026
β9:15 AM β 2:30 PM (PDT)
βInvite-Only Β· Closed-Door In-Person Assembly
βGlobal Academic Audience (Remote Access)
βABOUT THE SYMPOSIUM
βThe Physical AI Symposium 2026 convenes a highly curated group of researchers, system builders, and founders shaping the next generation of AI systems that understand, model, and interact with the physical world.
βHosted in Palo Alto, the symposium focuses on the emerging paradigm of:
βLarge World Models (LWM) β persistent, spatial, dynamic representations of reality
βHuman-centered perception and interaction
βEmbodied and agentic AI systems
βThe transition toward Large Experience Models (LEM)
β09:15 - 09:40 : OPENING KEYNOTE β FOUNDATIONS
βWhen AI Meets the Physical World
βWhy perception β not language β is the real bottleneck
βCategory: Vision Β· Geometry Β· Foundations
β09:40 β 10:05 : CORE REPRESENTATION SHIFT
βGaussian Splatting, Neural Fields & the New 3D
βParadigm
βHow machines represent space now
βCategory: 3D / 4D Perception Β· Scene Representation
β10:05 β 10:30 : FROM PAPERS TO REAL TIME
βFrom Static Scenes to Living Worlds
βTime, scale, and real-time constraints
βCategory: 4D Perception Β· Systems Β· Infrastructure
β10:30 β 10:50 β Break
βVisual demos: neural scenes, volumetric capture, avatars.
β10:50 β 11:15 : HUMANS IN THE LOOP
βHumans Are Not Objects
βPerceiving people, motion, and intent
βCategory: Human-Centered Perception Β· Interaction
β11:15 β 11:40 : EMBODIED INTERACTION
βPerception Is Not Enough
βFrom seeing to acting
βCategory: Embodied AI Β· Agents Β· Perception-Action Loops
β11:40 β 12:05 : GENERATIVE WORLDS
βGenerative Worlds Without Hallucination
βConstraining creativity with physics
βCategory: Generative AI Β· World Modeling
β12:05 β 12:45 β Closed Lunch
βIn-room participants only.
β12:45 β 13:10 : THE EXPERIENCE LAYER
βToward the Large Experience Model (LEM)
βFrom world understanding to world creation
βCategory: Experience Β· Interaction Β· Emergence
β13:10 β 14:00 : CLOSING FIRESIDE
βWhat Are We Still Getting Wrong About Physical AI?
βFormat:
βModerated fireside Β· 2 speakers max Β· No slides
β14:00 β 14:30