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From voice command to robotic arm: how agentic AI on the edge is changing the factory floor
For years, bringing real intelligence to industrial automation meant expensive infrastructure, proprietary systems, and steep learning curves. That’s changing – fast. Foundation models powerful enough to run at the edge are turning natural language into machine control, and the factory floor is starting to look a lot more like a conversation.
Think about how AI has changed the way you work at a desk. You describe what you need, and an agent handles the complexity underneath – the tools, the APIs, the data retrieval. The same shift is now happening in manufacturing.
Natural language is becoming the new interface for industrial machines . An operator who once needed specialized training to reconfigure a production line can now just say what they need. The AI handles the translation from intent to instruction.
Swiss startup Forgis , which builds physical AI models for manufacturing, recently demonstrated exactly this. Using a smartphone, an operator sends a voice command to an AI agent running on the Arduino ® UNO ™ Q board. Forgis’ foundation model processes the prompt, determines which object to pick and where to place it, calculates the full motion plan, and directs the robotic arm to execute the task – all from a single natural language instruction like “put each box in their respective compartments.”
The foundation model ingests multimodal factory data – the robot’s CAD model, PLC I/O signals, project specifications – and translates it into structured, machine-readable instructions in real time. The robotic arm’s camera connects via USB directly to the board, which runs inference locally with a latency of just 20 ms. The LED matrix on the UNO Q even displays the agent’s current state, so the operator always knows what the system is doing.
Critically, none of this requires a cloud round trip . The entire inference pipeline runs on the edge device, which matters enormously on a factory floor where network dependency, latency, and data sovereignty are real concerns.