Reachy Mini is a compact open-source robot with open-source code and printable body parts, enabling custom apps and hardware extensions. It includes a speaker, microphone, and camera, plus expressive antennas for emotional expression. The robot’s design emphasizes its “brain,” making it well suited for conversational and camera-based AI projects. A TensorFlow object detection app can be built using a real-time pipeline, SSD MobileNet V2 from TensorFlow Hub, and an OpenCV-based TensorFlow object detection example. The workflow supports live webcam inference and then deployment onto Reachy Mini for real-time object tracking, using code available in a GitHub repository.
"Reachy Mini is a compact open-source robot built in collaboration by Pollen Robotics, Hugging Face, and Seeed Studio. It has been going viral lately, getting mentioned in NVIDIA videos and even in the keynotes at some of their conferences. What makes it particularly interesting is that not only is all the code open-source, the body is too, which means you can print your own parts and develop your own apps to run on it."
"There is an app store of community-built projects you can explore and try, and easily contribute to. Anything conversational or camera-based is especially fun to build because of the hardware it ships with: a speaker, a microphone, and a camera, plus expressive antennas for emotions."
"This really highlights the unique new type of robot that the Reachy Mini embodies: It almost feels like it is a physical representation of an LLM or an AI agent, rather than a robot that has AI added to it. It does not have a body that moves around or hands to grab things, so its main selling point is really its brain. That design choice shapes what is most interesting to build with it."
"Let's learn how to build a TensorFlow object detection app and deploy it on the Reachy Mini, which will then allow us to do live object tracking. You can head over to the PyCharm channel for the full code breakdown and try it at home. All the code is in the Reachy-mini-object-detection GitHub repository."
Read at The JetBrains Blog
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