For three years, videos of humanoid robots doing backflips or opening doors dominated social networks. The winning narrative was that we were months away from seeing humanoid fleets in factories and warehouses. Reality arrived more slowly, but it arrived. During 2025 and Q1 2026, Figure AI, Agility Robotics, and Apptronik finally crossed the line between demo and verifiable productive deployment.

Key takeaways

  • Figure AI, Agility Robotics, and Apptronik have moved from viral video to verifiable deployments with real industrial clients (BMW, GXO, and Mercedes-Benz).

  • Tasks that work: sheet-metal loading in pre-assembly lines, standard container handling between conveyors and shelves, parts-kit delivery alongside operators.

  • No leading maker publishes a per-unit price; the only public list price in the sector is still Unitree’s, ranging 13,500–90,000 dollars depending on model.

  • The dominant commercial model is Robots-as-a-Service (rental with maintenance included), not direct purchase, so the client doesn’t absorb the obsolescence risk.

  • The best-documented case so far, Figure 02 at BMW’s Spartanburg plant, wrapped after 11 months with more than 30,000 vehicles built and 1,250 logged operating hours.

The actors that left the lab

Three companies concentrate the best-documented industrial deployments, plus a fourth maker that competes on price rather than corporate contracts.

Figure AI had Figure 02 deployed at BMW’s Spartanburg plant (South Carolina) through an eleven-month pilot that concluded in November 2025. The task was loading sheet-metal parts onto the pre-assembly welding fixture, on ten-hour shifts, Monday through Friday. The tally: more than 30,000 BMW X3 units built, more than 90,000 sheet-metal parts loaded, and 1,250 operating hours (Figure AI[1]).

With that data in hand, BMW has started testing the successor, Figure 03, at its German plant in Leipzig, this time on high-voltage battery assembly. The schedule: initial tests in December 2025, a second round in April 2026, and a pilot phase planned for summer 2026 (BMW Group[2]).

Agility Robotics has had Digit working since June 2024 in the warehouse GXO operates for Spanx in Atlanta, under a multi-year Robots-as-a-Service agreement. GXO itself describes it as the sector’s first formal commercial deployment of a humanoid robot (GXO[3]). The task is moving containers from cobots onto conveyors; by November 2025 it had passed 100,000 totes moved in that same operation (Robotics and Automation News[4]).

Apptronik has had Mercedes-Benz as both client and investor since March 2024. Apollo is under trial at a Mercedes-Benz plant in Hungary, where it delivers parts kits to assembly workers while inspecting components at the same time (PR Newswire[5]; The Robot Report[6]). Neither Apptronik nor Mercedes-Benz has specified how many units are under trial or whether the program has expanded to other plants.

Unitree, from China, sells its G1 and H1 humanoids directly through its own store. The base G1 costs $13,500, up to nearly $74,000 in better-equipped configurations, and the H1 starts around $90,000 (Unitree[7]; The Robot Report[8]).

It’s the only one of the four makers with a public list price. That is why it serves as a market reference point, even for robots that don’t compete in the same task category. As we covered in collaborative robotics on the factory floor, the pattern repeats: the high-end humanoid certified for automotive work costs ten times more than the research platform.

Which tasks actually fit

Three characteristics make a task a reasonable humanoid candidate:

  • Predictable structure: stable environment, known objects, bounded variability.

  • Duration: tasks filling full hours, not short interactions where activation cost doesn’t amortize.

  • Failure tolerance: systems where a robot error doesn’t break critical chain nor endanger nearby people.

Tasks meeting these three conditions in real plants: Standard container handling in logistics. Loading parts into presses and machine tools. Visual inspection with defined routes. Material transfer between nearby stations.

Tasks that don’t fit: variable fine assembly, ad-hoc repair, customer interaction, and anything combining non-trivial human judgment with physical execution.

Real cost and return

The real per-unit cost of Figure’s, Agility’s, and Apptronik’s industrial robots isn’t public information. None of the three makers has published a list price. The figures circulating in trade press vary so much from one source to another that citing any single one as a hard number would be misleading.

The only verifiable list price in the sector is still Unitree’s ($13,500–$90,000 depending on model). By design, that robot doesn’t compete in the same automotive-certified task category as the other three (Sacra Research[9]).

What is public is the dominant commercial model. GXO and Agility describe their agreement as the sector’s first Robots-as-a-Service contract for a humanoid robot (GXO[3]). That same pattern, rental with maintenance included instead of direct purchase, repeats across the other announced deals.

The reason: no company wants to absorb the obsolescence risk of a technology that turns over generations every 12–18 months. That is what just happened with the jump from Figure 02 to Figure 03 at BMW itself.

ROI depends above all on the robot’s real reliability across a full shift, a figure no maker publishes yet in an auditable way. The best-documented case remains Figure 02 at BMW: 1,250 operating hours across eleven months, moving more than 90,000 parts, before the fleet was retired once the successor arrived (Figure AI[1]). It’s the sturdiest reference point that exists today for how much a humanoid actually delivers on a real production line, and it’s a better yardstick than any unverified cost estimate.

Companies that have already gone through this keep repeating the same thing. The variable that decides the return isn’t the purchase price: it’s how many hours per month the robot runs without human intervention.

Where humans remain unbeatable

Despite enthusiasm, humans maintain clear advantage in four dimensions:

  • Fine manual dexterity, especially with soft or deformable objects (cloth, cables, unpackaged food): still out of current humanoid robotics’ reach by a considerable margin.

  • Adaptation to unexpected changes: when a belt jams in an unusual way, the robot asks for help, the human improvises.

  • Judgment on imperfect quality: deciding whether a marginal part passes or fails in an edge case is still better with an expert operator.

  • Interaction with people: a humanoid robot on-site still requires strict safety protocols and limited interaction zones.

This tension between physical autonomy and governance of the data each robot generates connects to a broader problem, the one we covered in Industry 4.0 and data sovereignty. Whoever operates the robot fleet also decides where the video and telemetry stream those robots capture, shift after shift, actually lives.

What will change soon

Three lines look reasonable in the near term, based on what the makers themselves have already announced:

  • Foundation models for motor control that these makers are training point toward behavior transfer between tasks without reprogramming, which would lower commissioning cost.

  • Fine manipulation should improve with the new-generation hands already in testing.

  • The generation-turnover pace is fast: BMW already moved from Figure 02 to Figure 03 at Spartanburg in under a year. It’s reasonable to expect other makers to follow a similar cycle as their foundation models mature.

What probably won’t change is the problem’s nature: the general humanoid replacing the operator across all tasks remains distant because it’s not just hardware or software.

When it pays off to enter

For a company considering whether to enter humanoid robotics, three questions filter the decision:

  • Are there concrete tasks with sufficient volume (minimum one full shift per day) and repeatable structure?

  • Is physical integration possible without full line redesign or construction work?

  • Does the operations department have technical capacity to absorb the robot as a system requiring management, not passive machinery?

If the three answers are yes, it’s worth engaging with makers that have similar cases and requesting verifiable references. If any answer is no, it’s probably too early. The cost of entering too early is high and cases ending well are few.

The general lesson from the first real enterprise humanoid robotics cycle is consistent with previous tech waves: it works where well-bounded and where there’s discipline to measure outcome.

This article is also available in Spanish.

Sources:

  1. Figure AI — F.02 Contributed to the Production of 30,000 Cars at BMW[1]
  2. BMW Group — BMW Group to deploy humanoid robots in production in Germany for the first time[2]
  3. GXO — GXO Signs Industry-First Multi-Year Agreement with Agility Robotics[3]
  4. Robotics and Automation News — Agility Robotics’ Digit humanoid passes 100,000-tote milestone in live GXO implementation[4]
  5. PR Newswire — Apptronik and Mercedes-Benz enter commercial agreement to pilot Apollo[5]
  6. The Robot Report — Mercedes-Benz testing Apollo humanoid[6]
  7. The Robot Report — Unitree Robotics unveils G1 humanoid for $16K[8]
  8. Unitree — G1 product page[7]
  9. Sacra Research — Figure vs Apptronik vs Agility Robotics[9]

Frequently asked questions

How much does an industrial humanoid robot cost?

No leading maker publishes it: neither Figure AI, Agility Robotics nor Apptronik has a list price. The figures circulating in trade press vary so much that none can be cited as a hard number. The only public list price in the sector is Unitree's, from $13,500 to $90,000 depending on model, though it does not compete in the same automotive-certified task category. The dominant commercial model is also Robots-as-a-Service, rental with maintenance included, not direct purchase.

What tasks can a humanoid actually do in a real factory today?

Those combining predictable structure, full-hour duration and failure tolerance: standard container handling in logistics, loading parts into presses and machine tools, visual inspection along defined routes and material transfer between nearby stations. The best-documented case is Figure 02 at BMW's Spartanburg plant: 1,250 operating hours over eleven months and more than 90,000 sheet-metal parts loaded. Variable fine assembly, ad-hoc repair and customer interaction remain out of scope.

How do I know whether my company is ready to deploy humanoid robots?

Three questions filter the decision: first, whether there are concrete tasks with at least one full shift per day of volume and a repeatable structure. Second, whether physical integration is possible without a full line redesign or construction work. Third, whether operations has the technical capacity to manage the robot as a system rather than passive machinery. If any answer is no, it is probably too early; the variable that decides the return is how many hours per month the robot runs without human intervention.

Sources

  1. Figure AI
  2. BMW Group
  3. GXO
  4. Robotics and Automation News
  5. PR Newswire
  6. The Robot Report
  7. Unitree
  8. The Robot Report
  9. Sacra Research