Agility Robotics Digit 5 Humanoid Aims to Work Without Safety Cages
Agility Robotics has unveiled Digit 5, a humanoid the company says can work beside people on a factory floor without the physical safety cage that has separated industrial robots from human workers for decades. Announced this week, the machine pairs a redesigned leg and an upgraded battery pack with a sensing architecture that spots an approaching person and halts the robot before contact. Agility Robotics Digit 5 keeps the material-handling job of earlier Digits and changes the terms on which the robot is allowed to share a floor with people.
The safety architecture replaces the fencing, light curtains and interlocked zones that normally isolate automated equipment. Agility said Digit 5 combines 360-degree sensing with AI-based human detection to recognize a person entering its working area, then stop and lower itself before any collision. That stopping sequence is the commercial change: a robot trusted next to a picker does not need a cell built around it.
Published specifications put the robot at 5 ft 11 in (1.81 m) tall and 284 lb (129 kg), with a payload ceiling of 50 lb (22.7 kg) and a reach height of 7.2 ft (2.2 m). Proprietary cycloidal actuators drive the limbs. Cycloidal gearing is known for torque density and tolerance of impact loads, which suits a machine that lifts repeatedly while sharing space with people.
| Specification | Digit 5 |
|---|---|
| Height | 5 ft 11 in (1.81 m) |
| Weight | 284 lb (129 kg) |
| Payload | Up to 50 lb (22.7 kg) |
| Reach height | Up to 7.2 ft (2.2 m) |
| Run-to-charge ratio | 10:1, about 90 minutes of work per nine-minute charge |
| Early access | First half of 2027 |
| General availability | End of 2027 in North America, the EU and the UK |
| Digit pricing | Quoted around $200,000 with a claimed payback near 1.1 years |
The leg redesign carries part of the safety story too. Agility has dropped the ostrich-like geometry of earlier generations for human-shaped legs tuned for lifting and squatting, so the robot can drop to floor level for a tote and rise under load. Squatting also lets Digit 5 lower its center of mass when it stops near a worker, which ties the mechanical change to the cage-free claim.
Battery life carries the second half of the pitch. Agility rates the machine at a 10:1 run-to-charge ratio, which it converts into roughly 20 hours of work across a 24-hour day, based on about 90 minutes of operation for every nine-minute charge.
What Agility Robotics Digit 5 Changes on the Floor
For most of industrial robotics history, the fence around a machine defined where it could earn its keep. Guarding consumes floor space, engineering hours and recurring safety validation, and it freezes a production layout once a cell is approved. A robot that needs no cage can be moved to whichever station is short of labor, the way a worker is, without rebuilding the surrounding line. That redeployability is the strategic core of this launch, and it explains why the safety work carries more weight than the actuator specifications.
The strongest counter-argument is that the tasks do not yet justify the machine. Agility cofounder Jonathan Hurst has described Digit's current workload as relatively simple, limited to picking and moving bins and totes, and fixed automation already handles tote movement in most warehouses. My reading is that this understates what barrier-free operation unlocks, because a guarded cell cannot be reassigned when demand shifts between stations. The commercial case still rests on unit economics more than capability breadth: Digit has been quoted at around $200,000, with a claimed payback of about 1.1 years.
Weight shapes how the safety system has to behave. A 129 kg machine carries far more momentum than the collaborative arms that share factory floors today, and stopping distance scales with mass, so the 360-degree detection has to identify a person early enough to halt and lower the body. That constraint caps travel speed in shared aisles, which is the trade-off behind the cage-free promise.
The battery claim deserves similar scrutiny. Ninety minutes of work for every nine-minute charge leaves the robot on a charger for roughly one hour in eleven, and those charging points have to sit inside the same aisles the robot is meant to share with people. Charging docks also consume floor space that cage-free deployment was meant to free up, a detail that rarely appears in run-time marketing. A 10:1 ratio is strong for a legged platform, and it still leaves a scheduling question for anyone planning continuous coverage across three shifts.
Twenty hours of work in a 24-hour day also reframes shift planning. One unit delivers the uptime of roughly two and a half eight-hour shifts, and that uptime is what an operator is buying.
Orders, Timing and the SPAC Arithmetic
Agility says it holds more than $300 million in multi-year customer orders. Early access is targeted for the first half of 2027, with general availability at the end of 2027 across North America, the European Union and the United Kingdom, and shipping into the EU and UK adds separate conformity assessment work to the rollout. The company is preparing a public listing through a SPAC merger with Churchill Capital Corp. XI at a $2.5 billion valuation, against 2025 net sales of roughly $1.8 million.
That gap is the real test of the Agility Robotics Digit 5 story. Order backlog is not revenue, and $300 million spread across deployments through 2027 and beyond converts slowly. At the roughly $200,000 price attached to Digit, the order book implies on the order of 1,500 units if every contract were recognized at list price, though multi-year agreements phase deliveries and carry service terms that change the mix. Few humanoid developers publish prices at all, which makes Agility's figure one of the rare anchors available to a buyer building a payback model.
Set against the $2.5 billion valuation, the $300 million order book equals about 12% of the headline equity value. Buyers of the Churchill Capital Corp. XI transaction are therefore underwriting execution risk as much as demand: Agility has to build, ship and support hardware across three regions, and the payback claim only holds if it survives real duty cycles.
Agility's named customers include Amazon, GXO, Schaeffler and Toyota Motor Manufacturing Canada, a roster that gives the order book credibility. That list spans e-commerce fulfillment, third-party logistics and automotive component manufacturing, three segments where tote and bin handling repeats at high volume. The company is also the first to use NVIDIA Halos for Robotics to build safety into humanoids deployed in factories, warehouses and logistics operations.
Engineering runs through Agility's Pittsburgh, Pennsylvania office, which leads testing, validation and skills development. Its Fremont, California facility, opened in July 2026, is the hardware and Physical AI development hub.
Buyers evaluating the robot now are committing to a vendor mid-transition to public markets, with early access a year ahead of general availability and a fleet support network that still has to be built out across three regions. A competitor that ships a comparable humanoid with conventional guarding cannot sell into the same aisles, so the early access window is worth roughly a year of differentiation before rivals close the safety gap.
Why This Matters
Permission to stand next to a person is what makes a humanoid commercially useful, and Digit 5 is the first Agility machine sold on that premise. For factory and warehouse operators, the buying decision shifts from whether a robot can perform a task to whether it can be trusted in an aisle, which turns labor substitution into a layout question instead of a capital project. For anyone watching the Churchill Capital Corp. XI deal, the metric that matters is how much of the $300 million order book converts into shipped units before the end of 2027.
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Researched and cross-referenced against primary sources by the Bytevyte editorial team. This article was generated with the assistance of artificial intelligence and reviewed by the Bytevyte editorial team.