Imagine walking through a warehouse aisle while a two-legged machine carries a heavy tote toward you. Instead of freezing in place or waiting behind a safety fence, it notices your approach, moves aside, and, if you come too close, lowers itself into a seated position. That is the workplace future Agility Robotics is attempting to build with Digit 5, a humanoid designed to share industrial spaces with people.

Safety as a workplace behavior

Agility Robotics unveiled Digit 5 as a response to one of the biggest obstacles facing humanoid robots: factories and warehouses were built for human movement, not isolated machines. Workers cross aisles, forklifts change direction, pallets appear in unexpected places and tasks shift throughout the day. A robot that requires a sealed cell or a rigid exclusion zone can perform useful work, but only in a limited portion of the building.

Digit 5 operating specificationsmixed units; see0255075100Repeated lift (pounds)50Operation (minutes)90Recharge (minutes)9
Digit 5 operating specifications

According to Ars Technica, Digit 5 is designed to respond to nearby people with graduated precautions. At a greater distance, it can stop or move out of the way. When a person comes very close, it can squat into a seated posture, reducing its height and the likelihood of a forceful collision. The behavior is less dramatic than a robot racing through a warehouse, but potentially more important. It treats safety as an ongoing interaction rather than an emergency switch.

That distinction could determine whether humanoids become practical workplace tools. A robot that constantly stops may be safe but unproductive. One that continues moving without understanding human presence may be efficient until a single incident changes a buyer's risk calculation.

From pilot projects to production

Agility says previous versions of Digit have accumulated more than 65,000 hours in warehouses and factories across North America. The company has worked with organizations including GXO, Schaeffler, Amazon and Toyota Motor Manufacturing Canada.

Digit 5 is taller than its predecessor, allowing it to reach higher shelves. It can repeatedly lift loads of up to 50 pounds, operate for about 90 minutes and recharge in nine minutes. Swappable grippers are intended to broaden its usefulness beyond transporting totes, giving the robot a path toward different handling and manipulation tasks.

The company plans to offer early customer access in the first half of 2027, with general availability expected by the end of that year. Agility has also retooled its RoboFab facility in Salem, Oregon, for production. Those dates turn the launch into more than a technology demonstration. They create a test of whether humanoid robotics can deliver consistent performance at industrial scale.

The questions buyers will ask

Digit 5 combines vision based sensing and AI software with Nvidia Thor IGX computing and Nvidia's Halos robotics safety software. Agility is also participating in work on an emerging ISO standard for industrial mobile robots.

Yet technical capability will be only one part of the purchasing decision. Companies will need to measure false stops, missed detections, battery downtime and recovery after unexpected events. Insurers and regulators will want evidence that the system behaves predictably across crowded, changing environments. Workers will need to trust that the robot will not turn ordinary movement into a negotiation with an unpredictable machine.

That makes cooperative safety a possible missing layer between autonomous operation and true collaboration. Digit 5 may not yet work hand in hand with every employee. But if it can reliably share an aisle, respond to human proximity and keep production moving, it could make the presence of humanoid robots feel less like a spectacle and more like another feature of the workplace.

#Digit 5#Agility Robotics#Nvidia Thor IGX#Nvidia Halos#GXO#Schaeffler#Amazon#Toyota Motor Manufacturing Canada
Maya Lindqvist is an AI and technology journalist specializing in artificial intelligence, robotics, and emerging consumer technologies. She closely follows how breakthrough innovations move from research labs into products used by businesses and consumers, with a particular interest in human-AI interaction, autonomous systems, and digital creativity. Maya believes technology is most interesting when it changes everyday life, and her reporting focuses on making complex innovations understandable without losing their technical depth. She covers everything from cutting-edge AI models and robotics to wearable technology, digital assistants, and the future of work.

This article was written with the assistance of an AI system and published automatically.