Precision Joint Parts for Humanoid and Collaborative Robots

The Challenge

These are key core components for one of the world's largest collaborative robot manufacturers, now scaling into humanoid robots. The program includes joint arms and joint housings where motion repeatability depends on geometric accuracy at the machined interfaces: multi-axis coaxiality within 0.01 mm, because it feeds directly into robot repeatability; repeat positioning accuracy on joint interfaces; and thin-wall structures that stay rigid for lightweight robot links.

The Numbers

• Multi-axis coaxiality within 0.01 mm on joint arms, CMM verified per lot.
• Stable ±0.005 mm machining tolerance in batch production.
• 99.5 percent first-pass yield, tracked per batch.
• expedited sampling on new drawing releases.
• 7-day batch delivery on small lots.
• Three material families in production: AL7075-T6, AL6061-T6, and Ti-6Al-4V.

The full drawing-level specification list is in the Key Specifications table below.

How We Deliver

• Speed. expedited sampling and 7-day batch delivery on small lots, through process planning done in advance and a flexible production cell. Robot programs iterate fast, and we support customers at the prototype stage.
• Accuracy. Stable ±0.005 mm machining with 99.5 percent first-pass yield. The inspection route behind the coaxiality numbers is the same one documented in our CMM first-article workflow.
• Traceability. Full lifecycle quality records for every part.
• Cost. Process optimization, batch efficiency, and direct material sourcing keep prices competitive.

The Result

KGL is a head-tier supplier for this robot program. The machining requirements of humanoid robots (five-axis geometry, coaxiality control, thin walls) sit exactly in our core capability, and we grow with the industry. The coaxiality reasoning is broken down in humanoid robot joint parts: the 0.01 mm coaxiality spec, housing variants in CNC machining for robotics joint housings and wrist shells, and material options on the aluminum machining page.