Physical AI

The AI Infra Summit’s Physical AI track differs from other Physical AI and robotics conferences as it is situated within a full stack AI infrastructure event. 

Not only will attendees hear from Physical AI’s thought leaders and their strategies for overcoming solutions to critical challenges in engineering autonomy, but, because the track is embedded within a wider full stack AI infrastructure conference, attendees also have access to critical developments across the entire AI infrastructure ecosystem.   

The Physical AI track will cover the entire Physical AI ecosystem and system development. 

• We will cover the pace of progress in industrial robotics and the critical developments and challenges in humanoid engineering.  

• The track will also platform the critical players in the autonomous vehicle space, including Waymo, Wayve, and General Motors and their approaches to Level 4 autonomy.  

• To complete our highlighting of Physical AI systems, the need for efficient edge inference, and strategies to enable this, will be a central topic. 

The Physical AI track will cover all the most pertinent challenges in engineering autonomous Physical AI systems.

We will examine solutions to robotics-specific engineering challenges, such as the challenge posed by insufficient, poor-quality data, strategies to close the sim-to-real gap, and how to ensure safe human-robot interaction. Alongside wider Physical AI and autonomous engineering bottlenecks, such as ensuring real-time performance at the edge, low-latency, and how to guarantee efficient edge inference.