From Physical AI to Real-World Intelligence: Building the Infrastructure for Intelligent Robots

Session Overview

As AI moves beyond digital environments and into the physical world, intelligent robots must be able to perceive, understand, and act reliably in complex real-world settings. This transition requires more than advanced models alone—it depends on the right robotic infrastructure, manipulation capabilities, and high-quality embodied data.

This session explores how physical AI is evolving into real-world intelligence through advancements in humanoid robotics, robotic manipulation, and robot data collection. It will examine the infrastructure required to train, deploy, and continuously improve intelligent robots across industrial and commercial applications.

Drawing on RealMan Robotics' work across Europe and the Asia-Pacific region, the session will also highlight how partnerships, data ecosystems, and industry collaboration can accelerate the adoption of embodied AI and enable robots to perform useful, scalable, and increasingly autonomous tasks in the real world.

Key Takeaways

• How physical AI is evolving into practical real-world intelligence
• The role of humanoid robotics and robotic manipulation in embodied AI applications
• Why robot data collection is critical for training and improving intelligent robots
• The infrastructure required to deploy robots safely and effectively at scale
• How strategic partnerships can accelerate industry adoption and ecosystem development