Figure AI Robot Completes 13-Day Walking Endurance Test
The machine took 1.5 million steps over 422 miles, signaling progress in robotic reliability for industrial tasks.
Updated on Oct. 26, 2026 in Robotics

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Figure AI has completed a 13-day continuous walking durability test for its Figure 03 humanoid robot. The machine covered 422 miles and completed 1.5 million steps, providing long-term reliability data for the company's hardware.
Why it matters
Extended stress testing is critical for transitioning humanoid robots from experimental laboratory novelties to reliable, autonomous workers in industrial environments. This data collection helps identify mechanical failures that only emerge after prolonged operation.
The Figure 03 robot sustained 13 days of continuous walking on a treadmill, totaling 422 miles. This follows a separate performance benchmark where the platform processed 250,000 cases over 200 consecutive hours of package sorting.
The players
Figure AI
A United States-based developer of humanoid robots designed for industrial automation and commercial work environments.
The details
The testing protocol involved treadmill operation where the robot performed repetitive, full-body movements to simulate heavy use. Before units are shipped, robots undergo thousands of cycles including jogging and squats to stress the actuators—the motors responsible for moving robot joints—and to refine gait stability. By tracking these metrics over 1.5 million steps, engineers can isolate hardware faults that typically remain hidden during shorter development runs.
Timeline
May 2026: Robots performed a 200-hour package sorting test.
April 2026: Figure AI provided an operations and production update.
October 20, 2026: The CEO shared a video showing the robot walking.
October 24, 2026: The CEO confirmed the robot was operating on day 13.
The Tech Race
This endurance milestone builds upon Figure AI's prior 200-hour package sorting demonstration conducted earlier this year. It represents a shift from testing task-specific manipulation to verifying the long-term physical reliability of the robotic chassis.
Logistics and warehouse operators can monitor these stress-test milestones to gauge the potential timeline for humanoid robot deployment in their facilities. As Figure AI continues to refine its hardware for paid work, these benchmarks offer a preview of when such machines may feasibly join human-led teams.
The takeaway
Figure AI is prioritizing long-term durability testing to prove its humanoid robots can handle industrial workloads without failing. Prospective industrial partners should track future announcements regarding mean time between failure (MTBF) metrics to assess operational readiness.
Further reading
Learn more about the latest developments in the field at Robotics.
Source note: This article includes information reported by 조선일보.
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