Agility’s Digit Hits 100,000 Totes, Proving Humanoids Are Ready for Real Work
Agility Robotics announced that its humanoid robot, Digit, has officially surpassed 100,000 totes moved in live commercial operation at GXO Logistics’ facility in Flowery Branch, Georgia. The milestone signals real industrial throughput—not controlled lab demos—and highlights the growing need for scalable automation amid rising volumes and ongoing labor shortages in logistics.
Agility has long argued that humanoids must demonstrate reliability across thousands of cycles before being considered true industrial tools. At GXO, Digit has been performing multiple warehouse tasks, including transferring totes to and from AMRs, loading conveyors, and stacking containers throughout the facility—all within an active fulfillment workflow. Its ability to seamlessly switch between unrelated tasks underscores Agility’s vision for a general-purpose humanoid: mobile, dexterous, and capable of operating in environments built for humans.
The company says Digit’s performance validates its hybrid development approach, combining classical control, teleoperated demonstrations, reinforcement learning, and simulation to create behaviors that hold up amid real-world unpredictability. Agility also stresses that practical AI—not theory—is what matters: Digit’s 100,000-tote milestone reflects AI working “thousands of times under different lighting and placement conditions,” while maintaining dynamic balance, vision accuracy, and consistent grasping.
Safety remains central to Agility’s roadmap. The company notes that “there is no scale without safety,” emphasizing that long-term operation alongside human workers is essential to earning both regulatory and operational confidence.
Agility credits GXO as a critical partner, citing its long-term automation strategy and ability to integrate advanced robots into a live logistics environment. With this achievement, Agility positions Digit not as a novelty, but as a proven industrial performer ready for scaled deployment.
