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Published
22/100

Gemma 4 E4B and EmbeddingGemma 2 run a Reachy Mini robot car offline

AIGoogle's Gemma team says a Reachy Mini robot car runs two Gemma models on the LiteRT runtime. Gemma 4 E4B runs locally to handle voice conversation and issue tool calls that start and stop the car.
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Part of a thread · earlier post

How does it work under the hood?

It uses two Gemma models running on Google’s LiteRT runtime:

1️⃣ Conversation & Tool Calling:
When you speak to Reachy Mini by voice. Gemma 4 E4B runs locally to hold natural conversations and issues a tool call to start or stop the car.

2️⃣ Real-Time Vision & Driving:
Once in motion, a small Gemma-based decision model (EmbeddingGemma 2) runs directly on an @arduino VentunoQ embedded board to steer the robot using real-time camera input.

Because both models run on LiteRT, the whole loop stays completely private, offline, and with low-latency.

Check out @IanBallantyne’s breakdown for more technical details on the build!

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Google Gemma · x.comPublished · added here

Original title: How does it work under the hood?