WATCH - The General Robotics Intelligence Grid for Physical AI in action. This is the future of training robots at scale. “Today, deploying a robot means stitching together numerous systems that were never designed to work together. To be truly useful, robots need a unified intelligence infrastructure." – Sai Vemprala, CTO General Robotics The robotics industry has entered a new era of hardware maturity. Humanoids, mobile manipulators, industrial arms, aerial drones, and autonomous platforms are shipping from an ever-expanding ecosystem of OEMs. Form factors are diversifying, foundation models are improving, and the pace of new entrants continues to accelerate. Despite this progress, the path from working prototype to operationally skilled robot remains one of the most significant challenges in the industry. The central impediment to that goal is not a lack of capable AI — it is fragmentation. Teams must integrate perception models, control policies, simulation environments, data pipelines, and fine-tuning infrastructure across toolchains that were never designed to work together. That effort often has to be repeated for every new robot, environment, or task.
