Democratizing Industrial Automation w/ Etienne Lacroix

The Manufacturing Executive · 29 Oct 2024 · 30m · Episode 229

AI in practice: 3 real uses of AI described

What this episode covers

Etienne Lacroix, Founder and CEO of Vention, explains how his company is democratizing industrial automation for small and medium-sized manufacturers by productizing robotics applications and enabling shop-floor practitioners to build their own machines. He details the shift from expensive, custom system integration to modular, plug-and-play components and virtualization, which allows users to create digital twins and de-risk capital expenditure before buying hardware. Lacroix also discusses the recent decline in US robot arm sales, attributing it to interest rates, and outlines how AI-driven tools like generative design and autonomous robotics are lowering the barrier to entry for automation.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

DesignVention platform (sentence completion for 3D parts)

The AI provides sentence completion suggestions for 3D mechanical parts within the design interface, allowing users to find components by hovering over a context rather than searching libraries.

“we do the sentence completion that you see in Google and Gmail, but apply to 3D parts, so we can sentence complete your 3D design, which helps, so you don't have to go search. entire part libraries.”

Speaker 3 · Hear it at 23:08

Engineering & simulationLLM (Copilot programming)80, 90% of the way

An LLM generates code for robot programming based on prompts and an understanding of the 3D scene, achieving 80-90% of the required functionality without requiring users to learn proprietary languages.

“You can just prompt, you know, the, um, an NLM and get uh, a girated code that gets you there 80, 90% of the way. And if this large language model that you use to prompt, can understand the 3D scene at the same time.”

Speaker 3 · Hear it at 23:08

Engineering & simulationAutonomous robotics models trained with synthetic data

Robotics models are trained using synthetic data in a virtual world before physical deployment, allowing robots to learn object detection and trajectory planning without initial real-world data collection.

“What if you can do that autonomous robotics, even with, and get it trained with synthetic data, right, ahead of Capex investment, in a virtual world, and you can train the robot this way. So it's getting better and better before you deploy to production.”

Speaker 3 · Hear it at 23:08

Mentioned

Companies
Vention, McKinsey and Company, General Electric, Gorilla 76
Also
Industrial Marketing Summit, A3

Other shows on the same ground, closest first.

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