Benji Barash

Robots don’t get smarter by accident; they improve through a deliberate data flywheel. This panel explores how real-world robot data is captured, curated, and fed back into perception, autonomy, and system performance. Drawing on lessons from field-deployed robots, we’ll explore how to design the data flywheel from day one, turning pilots into scalable, field-ready platforms that continuously learn and improve in production.

Join us for a dynamic showcase featuring startups from the Physical AI Fellowship, powered by AWS, NVIDIA, and MassRobotics. Over the past eight weeks, these companies worked closely with the AWS GenAI Innovation Center technical team to validate, test, and refine their robotics and AI technologies. This session will highlight some of the most promising innovations emerging at the intersection of physical AI, autonomy, and real-world deployment. Attendees will gain insight into the startups’ technologies, the challenges they tackled, and the lessons learned through deep collaboration with industry leaders. Expect fast-paced presentations, cutting-edge demos, and a firsthand look at the future of intelligent machines.