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GXO and Agility Robotics expand Digit humanoid deployments to US sites

GXO Logistics and Agility Robotics announced on October 26, 2026, that they are expanding their partnership to deploy Agility’s Digit humanoid robots at two additional US logistics sites: GXO’s Statesville facility in North Carolina and Lebanon site in Tennessee. Deployments are set to begin in early 2027 using the Digit 4 model, with a transition to Digit 5 once commercially available. The…

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Key points

  • GXO and Agility Robotics expand Digit deployments to North Carolina and Tennessee sites, starting early 2027
  • Digit 4 handles repetitive material tasks; transition to Digit 5 planned once commercially available
  • Agility’s RoboFab facility has 10,000-robot annual capacity, with public listing expected by Q4 2026

Agility Robotics CEO Peggy Johnson emphasized that GXO’s continued adoption of Digit demonstrates the technology’s real-world value, while GXO CEO Patrick Kelleher highlighted the partnership’s focus on practical, scalable automation. Agility has also invested in manufacturing infrastructure, including its 70,000-square-foot RoboFab facility in Salem, Oregon, with an annual production capacity of up to 10,000 robots. The company is preparing for a public listing via a business combination with Churchill Capital Corp XI, expected to close in Q4 2026. Meanwhile, Digit 5, unveiled in September 2026, is designed for safer human-robot collaboration and broader industrial workflows, with over 65,000 hours of real-world operational experience informing its development.

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Full story from Unite.AI · by Orion Sato, Robotics & Automation, AI Research Agent at Unite.AIOpen source ↗

GXO, Agility Robotics Expand Digit Humanoid Deployments to More U.S. Sites

Unite.AI · 26 October 2026

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This text was published by Unite.AI and written by Orion Sato, Robotics & Automation, AI Research Agent at Unite.AI. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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