The partnership has three connected elements:
This makes the deal more than a customer trial. Schaeffler is positioned both as a user of the robots and as a supplier of components that could help scale them.
The companies say their earlier pilot showed AEON handling a multi-machine station, including loading, unloading and inspecting parts. That type of workflow is important because it tests whether a humanoid can move between existing production equipment rather than operate only in a tightly controlled demonstration.
The next step is to turn those demonstrations into repeatable production applications. Inspection is one early target, while other potential factory tasks include machine tending, manipulation and operator-support work. Hexagon’s own manufacturing collaboration with BMW shows a similar approach: AEON began performing production tasks at BMW Group Plant Leipzig while being trained for future applications.
BMW has identified high-voltage-battery assembly and component manufacturing as areas for testing AEON in production environments.
Strain-wave gearboxes are used where a robot joint needs precise movement, high torque and a large reduction ratio in a compact form factor. Those requirements make them relevant to humanoid arms and legs, where space, weight and controllability all matter. Schaeffler says its formed gearboxes are designed for the precision, stiffness and compactness required in humanoid joints.
The proposed production method changes how the gearbox components are made. Instead of relying mainly on slow, capital-intensive precision machining, Schaeffler says high forming forces shape the parts in seconds. The company reports that the process could reduce component costs by more than 25% and material consumption by more than 75% compared with conventional production.
Those figures should be read as supplier-reported claims rather than independently verified savings. If they hold up in production, however, the process could address two constraints at once: the cost of actuators and the capacity available to manufacture them at higher volumes.
Hexagon describes AEON as an industrial humanoid designed for manipulation, inspection, logistics and spatial-intelligence-driven workflows. The robot is listed at 165 centimetres tall and 60 kilograms, with a top speed of up to 2.5 metres per second and a 15-kilogram payload.
Its factory use is based on a wheeled form factor and sensor-driven operation rather than a simple fixed robotic arm. That allows AEON to work around multiple stations, provided the robot can reliably perceive the environment, handle parts and meet production-cycle requirements.
The 2026 World Robot Conference reflected the industry’s shift from theatrical demonstrations toward practical work. Exhibitors showed humanoids sorting parcels and packing phones, alongside other factory and logistics applications.
But visibility is not the same as proven economics. Reuters reported that large-scale adoption remains limited beyond pilots and niche applications, and that humanoids are generally less efficient than specialized automation in most current use cases.
That makes Schaeffler’s plan strategically significant but not conclusive. A fleet commitment creates real operating data and gives Hexagon more opportunities to train AEON on production tasks. The actuator and gearbox work addresses the hardware side of scaling. Yet the success of the strategy will depend on whether AEON can deliver reliable, economical performance in sustained factory operations—not simply whether manufacturers can demonstrate that it moves, inspects or handles parts.
Schaeffler and Hexagon are pursuing an industrialization loop: deploy AEON in real factories, use the resulting data to improve its capabilities, and manufacture the precision actuators needed for larger fleets. The planned 2027 gearbox production is intended to make that loop easier to scale by reducing production time, material use and component cost.
The commitment to at least 1,000 robots by 2032 is therefore best understood as a test of the entire humanoid-robot ecosystem. It will show whether better training data and cheaper, more scalable joint hardware can move AEON—and industrial humanoids more broadly—from promising pilots toward dependable production tools.
The partnership has three connected elements:
This makes the deal more than a customer trial. Schaeffler is positioned both as a user of the robots and as a supplier of components that could help scale them.
The companies say their earlier pilot showed AEON handling a multi-machine station, including loading, unloading and inspecting parts. That type of workflow is important because it tests whether a humanoid can move between existing production equipment rather than operate only in a tightly controlled demonstration.
The next step is to turn those demonstrations into repeatable production applications. Inspection is one early target, while other potential factory tasks include machine tending, manipulation and operator-support work. Hexagon’s own manufacturing collaboration with BMW shows a similar approach: AEON began performing production tasks at BMW Group Plant Leipzig while being trained for future applications.
BMW has identified high-voltage-battery assembly and component manufacturing as areas for testing AEON in production environments.
Strain-wave gearboxes are used where a robot joint needs precise movement, high torque and a large reduction ratio in a compact form factor. Those requirements make them relevant to humanoid arms and legs, where space, weight and controllability all matter. Schaeffler says its formed gearboxes are designed for the precision, stiffness and compactness required in humanoid joints.
The proposed production method changes how the gearbox components are made. Instead of relying mainly on slow, capital-intensive precision machining, Schaeffler says high forming forces shape the parts in seconds. The company reports that the process could reduce component costs by more than 25% and material consumption by more than 75% compared with conventional production.
Those figures should be read as supplier-reported claims rather than independently verified savings. If they hold up in production, however, the process could address two constraints at once: the cost of actuators and the capacity available to manufacture them at higher volumes.
Hexagon describes AEON as an industrial humanoid designed for manipulation, inspection, logistics and spatial-intelligence-driven workflows. The robot is listed at 165 centimetres tall and 60 kilograms, with a top speed of up to 2.5 metres per second and a 15-kilogram payload.
Its factory use is based on a wheeled form factor and sensor-driven operation rather than a simple fixed robotic arm. That allows AEON to work around multiple stations, provided the robot can reliably perceive the environment, handle parts and meet production-cycle requirements.
The 2026 World Robot Conference reflected the industry’s shift from theatrical demonstrations toward practical work. Exhibitors showed humanoids sorting parcels and packing phones, alongside other factory and logistics applications.
But visibility is not the same as proven economics. Reuters reported that large-scale adoption remains limited beyond pilots and niche applications, and that humanoids are generally less efficient than specialized automation in most current use cases.
That makes Schaeffler’s plan strategically significant but not conclusive. A fleet commitment creates real operating data and gives Hexagon more opportunities to train AEON on production tasks. The actuator and gearbox work addresses the hardware side of scaling. Yet the success of the strategy will depend on whether AEON can deliver reliable, economical performance in sustained factory operations—not simply whether manufacturers can demonstrate that it moves, inspects or handles parts.
Schaeffler and Hexagon are pursuing an industrialization loop: deploy AEON in real factories, use the resulting data to improve its capabilities, and manufacture the precision actuators needed for larger fleets. The planned 2027 gearbox production is intended to make that loop easier to scale by reducing production time, material use and component cost.
The commitment to at least 1,000 robots by 2032 is therefore best understood as a test of the entire humanoid-robot ecosystem. It will show whether better training data and cheaper, more scalable joint hardware can move AEON—and industrial humanoids more broadly—from promising pilots toward dependable production tools.