Physical AI is evolving quickly. From imitation learning to foundation models, robotics teams are making real progress toward systems that can adapt, generalize, and improve over time. But there’s a gap. Many of these systems work well in controlled environments… yet struggle when faced with the variability of real production. If you’re a robotics OEM, product leader, or engineering team, you’ve likely felt this firsthand. The challenge isn’t just building smarter robots. It’s building robots th