Scaling Physical AI: Why grippers and sensors matter for real-world robotics

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