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How to prototype a voice and camera desktop robot agent with Awesome Robot Use Agent

Follow the linked tutorial to connect a language model to a desktop robot with voice and vision.

  • Research
  • Advanced
  • 2 hours
  • From the README
  • Any agent

Who it is forA developer or maker with a Reachy Mini who wants an interactive desktop robot that listens, sees, and acts.

The problemWiring reasoning models, speech input, camera input, and robot actions together takes time without a reference path.

The outcomeA working desktop robot prototype that responds to voice and camera input through tool calling.

What you need first

  • A web browser to open the README and the searchable website
  • For the benchmark and tutorial use cases: a Python environment and access to the linked project pages, which the README does not set up for you
  • For the tutorial use case: a Reachy Mini robot and the hardware named in the linked Hugging Face and NVIDIA post

Steps

  1. Open the Articles section and read the NVIDIA and Hugging Face tutorial on Reachy Mini.
  2. Follow the tutorial to set up the Nemotron reasoning and vision models, NeMo Agent Toolkit, and Pipecat.
  3. Connect the Reachy Mini camera and voice input as the tutorial describes.
  4. Define one robot behavior as a Python interface and expose it as a ReAct tool.
  5. Run a voice command and confirm the robot performs the behavior.

Prompt for your agent

Using the NVIDIA and Hugging Face Reachy Mini tutorial linked in https://github.com/kairunwen/Awesome-Robot-Use-Agent, set up a voice and camera agent for a Reachy Mini and add one robot behavior as a ReAct tool. Report the steps completed and the behavior triggered by one spoken command. Verify the tool call appears in the agent log before you report success.

Caveat. The README links the tutorial but does not reproduce its setup, and the tutorial targets a desktop robot rather than general manipulation.

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