Lunes CNC machine tending with humanoid robots, VLM perception and VLA learning

Posted by – December 4, 2025
Category: Exclusive videos

Lunes GmbH presents how humanoid robotics can move beyond show-floor stunts into real production. CEO and founder Jeff explains how the company is spinning up a new Lunes Robotics initiative on top of its long-standing automation engineering work, using humanoid platforms alongside classic industrial robots to handle repetitive machine-tending tasks in real factories and workshops, turning spectacle into reliable toolchain for industry. https://lunes.de/


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Instead of trying to solve every scenario at once, Lunes focuses on a narrow but high-impact use case: operating CNC milling machines and similar assets. The humanoid or industrial robot opens the machine door, removes finished metal parts, inserts new blanks and closes the door again, transforming a human-intensive, boring station into semi-autonomous machine tending. The goal is not to replace skilled operators, but to free them from low-skill loading cycles so they can supervise multiple cells, manage quality and optimize process uptime.

To train their team and validate their software stack, Lunes also develops internal demo cells such as a chess-playing robot. Here, an industrial robot executes the physical moves on a real board while a chess engine computes the strategy, giving junior developers a safe playground for motion planning, collision avoidance, calibration and human-robot interaction. The demo travels from fair to fair and is continuously improved, serving as a living regression test for control software and integration practice.

On the AI side, Lunes uses vision-language models (VLMs) to detect and classify workpieces, aligning camera perception with the robot’s coordinate frames. For complex grasping tasks, they apply vision-language-action (VLA) concepts: engineers teleoperate the robot and demonstrate a grip trajectory many times, effectively performing imitation learning so the model can reproduce the motion autonomously. By combining deterministic PLC-style logic with data-driven perception and learned manipulation, they aim for systems that are simple enough to certify yet flexible enough to cope with part variety and real-world tolerances, improving robustness and cycle-time performance.

Filmed at SPS 2025 in Nuremberg, this interview captures an early snapshot of Lunes’ journey from traditional automation engineering into humanoid machine tending. The focus is squarely on pragmatic deployment: integrating humanoids and industrial arms into existing CNC fleets, working with machine OEM partners, and building software that fits industrial expectations around safety, maintainability and lifecycle. Rather than chasing generic “general purpose” robots, Lunes is mapping a stepwise roadmap where each narrow use case—starting with CNC loading—earns its place on the factory floor as part of a realistic humanoid automation roadmap.

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