Date: Monday, May 11
Start Time: 10:25 am
End Time: 11:10 am
Edge AI is helping robots see, decide and act in the real world—but the hardest work starts after the demo. In this plenary panel, we’ll unpack where edge AI is creating measurable value today, then dive into the system choices that determine whether a robot ships: vision-only versus multimodal sensing and fusion, the real compute bottlenecks (latency, bandwidth, power, thermals, memory and software) and the trade-offs between modular pipelines and end-to-end learned stacks. We’ll also discuss the data problem—collection, labeling, simulation and continuous improvement—plus the practical role of foundation and vision-language models in embodied systems. Finally, we’ll cover safety and trust around people, why pilots fail to scale, what changes from 10 robots to 1,000, and what breakthroughs are most likely to matter over the next three to five years.



