What does it actually take to put 1,000 humanoid robots to work?


Hexagon Robotics President Arnaud Robert joins me to explain how the company is moving its Aeon humanoid from pilots and demonstrations into real industrial production, including a plan with Schaeffler that could eventually scale to 1,000 robots.


And the big lesson is that scaling humanoids isn't about taking one robot doing one task and multiplying it by 1,000.


It's about building a multipurpose fleet that can move between jobs as demand changes across a factory.


We talk about:


• Why humanoids need to be multipurpose to justify themselves

• How Aeon gathers training data while doing real work

• Hexagon's “sim-to-real-to-sim” training loop

• Why customer-specific factory data matters

• The difference between a successful pilot and a production-ready robot

• The two metrics Hexagon cares about most: cycle time and human intervention

• What Hexagon learned from early sensor-fusion and actuator challenges

• Why Aeon uses wheels instead of legs — and can still climb stairs

• How humanoids could eliminate bottlenecks instead of simply replacing workers

• Schaeffler's “robot gym” and the train-deploy-scale path to 1,000 humanoids


Robert's view of the factory of the future isn't a lights-out facility with no people. It's a highly autonomous factory where humans and robots work together — with robots handling repetitive tasks and shifting between bottlenecks while skilled workers focus on problem-solving.


This is what humanoid robotics looks like when the conversation moves beyond prototypes and into production.


00:00 What does it take to deploy 1,000 humanoids?

01:31 Why 1,000 robots changes the problem

03:02 Why humanoids need to do multiple jobs

03:55 The race for physical AI training data

04:51 Simulation, synthetic and real-world data

06:20 Hexagon's sim-to-real-to-sim loop

08:10 What robot-generated training data captures

10:21 Pilot vs. production-ready humanoids

12:14 The industrial experience advantage

13:12 The two metrics that really matter

15:39 What Hexagon learned from failure

17:35 The humanoid actuator problem

18:47 Why Aeon uses wheels instead of legs

19:59 Yes, a wheeled humanoid can climb stairs

21:28 What the factory of the future looks like

23:42 Using humanoids to eliminate bottlenecks

25:17 Automation exposes the hidden 3%

26:07 Schaeffler's path to 1,000 humanoids

27:18 Train, deploy, scale

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