Forearm Reliability Drives Fleet Success

Diving deeper into

Figure AI

Company Report
Reliability learnings from that deployment—particularly in the forearm and wrist electronics—were carried into Figure 03's redesign for improved robustness and simpler thermal management.
Analyzed 6 sources

This redesign shows that Figure is moving from demo robotics to fleet robotics, where the bottleneck is not whether a robot can complete a task once, but whether joints and onboard computers survive long shifts without overheating or failing. BMW gave Figure 1,250 plus runtime hours in a real factory, enough to expose weak points in the forearm and wrist, the robot parts that pack motors, wiring, sensors, and compute into the smallest, hottest spaces.1 2 3

  • The wrist and forearm matter because that is where dexterity lives. Every pick, rotate, insert, and handoff runs through those assemblies. If electronics there run hot or fail under vibration, the whole robot may stop even when the rest of the body is fine.1 2
  • Figure 02 at BMW was a long enough deployment to generate real failure data, loading 90,000 plus parts over 11 months and contributing to 30,000 vehicles. Figure then retired that fleet and rolled those lessons into Figure 03, which returned to Spartanburg in a larger 40 robot deployment.1 3
  • This is the same pattern emerging across humanoids. Apptronik is using Mercedes-Benz and Jabil pilots to gather manufacturing data and validation in live operations. In practice, industrial customers are becoming both early buyers and the test bench that hardens each next hardware generation.4 5 6

The next leg of competition is likely to be won by the company that turns field failures into faster hardware revisions and then scales those revisions across fleets. As deployments grow from a few robots to dozens and then hundreds, simpler thermal design and tougher arm electronics become core product advantages, because they raise uptime, cut service work, and make robot economics look more like dependable equipment than experimental machinery.2 3 4 5