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World Congress 2026 Europe • Jul 9, 2026 • Session details

Physical AI for the Next Wave of Industrial Digitalisation

Sergio Perez

How can we deploy physical AI when real-world training data is dangerously scarce? Discover how developers leverage generative physics simulations to safely scale industrial robotics.

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#1 about 2 min

Shifting focus from large language models to physical AI

Transitioning optimization efforts from software agents to real-world robotics.

#2 about 2 min

Expanding robotics beyond humanoids across diverse industries

How automated systems create industrial opportunities in agriculture and biomedical fields.

#3 about 2 min

Mechanisms of visual language action models in robotics

Generating specific action tokens from varied sensor modalities to control robotic movement.

#4 about 1 min

Exploring open-source libraries for physical AI development

Accessing comprehensive technology stacks to facilitate training and deployment.

#5 about 2 min

The three essential phases for physical AI development

Breaking down the pipeline into training, simulation, and real-world deployment operations.

#6 about 2 min

Overcoming physical AI data scarcity through synthetic generation

Using intensive compute rounds to generate synthetic data for models when real-world recording is financially prohibitive.

#7 about 2 min

Simulating physically accurate training data with foundational software platforms

Combining accurate physics engines with world foundation models to generate deep multi-variant datasets.

#8 about 1 min

Skipping initial training loops with pre-trained open-source models

Downloading ready-to-deploy multimodal systems to preserve compute cycles and accelerate times to market.

#9 about 3 min

Demonstrating Cosmos capabilities for physical environment trajectory prediction

Turning multi-sensor inputs into realistic responsive motion predictions for varied autonomous edge cases.

#10 about 3 min

Synthesizing realistic physical environments using dedicated 3D data pipelines

Utilizing rigid file formatting and rendering pathways to synthesize highly realistic physics and sensor dynamics.

#11 about 1 min

Scaling virtual scenario testing variety with applied world models

Automatically scaling situational edge cases without needing physical real-world testing pipelines.

#12 about 3 min

Performing targeted reinforcement learning using specialized simulated laboratory gyms

Utilizing specialized environment constraints for continuous iteration of complex cleaning and operational tasks.

#13 about 2 min

Exploring inside-out and outside-in robotic deployment paradigms

Understanding the difference between on-robot sensing versus external facility tracking architectures.

#14 about 4 min

Implementing outside-in monitoring using intelligent smart space visual blueprints

Deploying multi-camera video search and summarization agents to continuously track warehouse flow dynamics.

#15 about 3 min

Deploying inside-out foundational models onto mobile arms and humanoids

Translating foundational models through robotic operating systems directly into varied physical hardware configurations.

#16 about 2 min

Growing the industrial digitalization ecosystem through targeted collaborative partnerships

Integrating physical AI platform capabilities into broad hardware provider lineups to resolve enterprise use cases.

#17 about 3 min

Managing synthetic data unpredictability alongside multi-sensor autonomous vehicle deployment

Relying on physically accurate libraries to mitigate unpredicted errors while maintaining robust edge vehicle tracking.

Matching moments

2:22 min

Introduction to physical AI and the physical world

Moe Sani Moe Sani · WWC Europe 2026

1:37 min

Transitioning from digital AI agents to physical AI

Alexander Schwarz Alexander Schwarz · WWC 2025

2:44 min

Embodying artificial intelligence within physical robotic hardware platforms

Zaid Zaim Zaid Zaim +1 · WWC Europe 2026

2:58 min

Introduction to Omniverse and Isaac Sim platforms

Teresa Conceicao · WWC 2022

2:23 min

Development roadmap for world models and physical robotics

Joerg Krall Joerg Krall · WWC Europe 2026

58 sec

Transitioning artificial intelligence into physical manifestations

Thomas Tomow Thomas Tomow · WWC 2025

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