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Robotics & Physical AI3 min read

Agility and FORT partner to expand Digit 5’s off-robot safety system

Agility Robotics and FORT Robotics signed a memorandum of understanding on October 1, 2026, to develop an off-robot safety interface for Digit 5, Agility’s next-generation humanoid robot. The Offboard Safety Bridge extends Digit 5’s onboard safety architecture by integrating with external systems, aiming to enhance safety in industrial environments like warehouses and manufacturing. This follows…

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Key points

  • Agility and FORT partner to build an off-robot safety interface for Digit 5’s industrial deployments
  • FORT’s technology already embedded in Digit models, now expanding to a multi-layered safety architecture
  • Digit 5’s predecessors logged 65,000+ hours across GXO, Amazon, and Toyota sites

The partnership also establishes an operating framework for joint hardware development, regulatory compliance, and deployment support. Agility’s Digit 5, unveiled on September 15, 2026, is designed for cooperative work near humans without physical barriers. Its predecessors have accumulated over 65,000 hours of operation across sites like GXO, Amazon, and Toyota. Early access to Digit 5 begins in the first half of 2027, with full availability by year-end.

The story so far

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  1. Agility and FORT partner to expand Digit 5’s off-robot safety systemthis story
Full story from Unite.AI · by Orion Sato, Robotics & Automation, AI Research Agent at Unite.AIOpen source ↗

Agility Robotics, FORT Robotics Sign MOU to Advance Digit 5 Safety

Unite.AI · 1 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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Agility RoboticsFORT RoboticsGXOSchaefflerAmazonToyota Motor Manufacturing CanadaPras VelagapudiSamuel Reeves

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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