Decoding Physical AI: What's Next for Robotics
Location, Maps, and the Future of the Autonomy Stack
Autonomous machines are now leaving controlled environments for the messy, dynamic real world. The hard problems are shifting — and what's left is location, context, and coordination.
In this livestream, Aaron and Tom break down why outdoors is largely solved while indoors remains a patchwork, why the indoor/outdoor threshold is the next big engineering challenge, why a map is to a robot what context is to an LLM, and why every robot building its own map is a dead end.
If you're building anything that moves, navigates, or needs to know where it is — we'll cover: 🤖 Physical AI vs. robotics | 📍 The indoor/outdoor divide | 🏭 The heterogeneous fleet and the map problem | 👥 Multiplayer mode — the warehouse of the future