Figure just demonstrated Helix 02 cleaning a living room using a single end-to-end neural system running directly from pixels. Without changing algorithms or writing custom controllers, the robot learned complex tasks like spraying and wiping tables, tucking bins under its arm, and operating a remote simply by training on more data.
Figure just put a fleet of seven Figure 03 humanoids into 24/7 autonomous operation at its California headquarters, powered by its Helix 02 neural network. The bots monitor their own battery telemetry, stepping onto 2 kW inductive charging docks and swapping tasks without human intervention. It marks a serious technical milestone for humanoid uptime, even if Figure hasn't disclosed what actual work they're doing yet.
Figure just unveiled Helix 02, expanding its unified neural network to steer an entire humanoid robot's locomotion and manipulation directly from pixels. In an impressive kitchen demo, Figure 03 autonomously completed a 4-minute dishwasher loading and unloading task, even bumping drawers shut with its hip when its hands were full. Why it matters: Replacing tens of thousands of lines of fragile C++ code with end-to-end learned control is a massive step toward humanoids doing real household chores.
