/ About this event
Physical AI is having its moment on stage, but the gap between an impressive demo and a system that survives the real world — unpredictable terrain, degraded connectivity, messy sensor data, biological variability — is where most projects stall. This panel brings together builders working across robotics, hardware, and agricultural data to unpack what it actually takes to close that last mile: how you design hardware that can withstand and adapt to real-world conditions, what kinds of data (from soil sensors to plant biosignals to field imagery) are needed to make AI systems trustworthy outdoors, and how teams are closing the loop between data collection and physical deployment at scale. Whether you're building autonomous machines, in-field sensing networks, or the models that sit on top of them, you'll come away with a grounded view of what separates lab-ready physical AI from field-ready physical AI.
This event is a part of #SFTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
