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Weekly Wiki

Greetings​

This is Frank in Seeed Studio and welcome to the Seeed Studio weekly wiki! Each Monday, I will introduce you our latest wiki, including the ones related to our new products, the interesting projects published by Seeed Studio, and the tutorials, introductions, etc... You name it.

✨ For each week, when a collaborator contributes a project or fixes something important, we put the stars at the end of title of "Weekly Wiki" for more people be able to see their efforts👍.

Today is March 30th, and a brand new week has begun! Check out what Seeed Studio did last week!

Latest Wiki Launched​

BC03 Indoor Bluetooth Beacon Introduction​

pir

SenseCAP BC03 Indoor Bluetooth Beacon is a small wireless device that transmits Bluetooth signals at regular intervals. These signals can be detected by Bluetooth-enabled devices, such as SenseCAP T1000 Tracker, SenseCAP T2000 Tracker, allowing them to determine their proximity to the beacon, building a location-based solution for indoor positioning, asset tracking and other applications, which enabling proximity detection and meter-level indoor positioning.

Control Multiple Reachy Mini Robots with a Fleet Dance Console on Jetson​

This wiki shows how to build a multi-robot dance demo with Reachy Mini and Jetson devices. In this project, each Jetson runs a local Reachy Mini dance service in Docker, exposing both a Web UI and a REST API. A separate laptop-based Fleet Control dashboard can then discover multiple Jetson IPs on the same LAN and broadcast the same dance commands to all connected Reachy Mini robots at the same time.

Getting Started with Jetson-Claw on Orin Nano / NX 8GB​

pir

This wiki walks through a practical Jetson-Claw starter build for Jetson Orin Nano 8GB and Jetson Orin NX 8GB. The whole stack runs locally on Jetson: we install nanobot, expand swap space for safer model loading, compile llama.cpp with CUDA, download a Qwen3.5 4B GGUF model, switch nanobot to a local llama.cpp backend, and finally connect the bot to Feishu so you can control it from chat.

Use OpenClaw to control the reCamera Gimbal​

pir

This project successfully shattered the barrier between virtual large models and the physical world by deeply integrating the OpenClaw Agent framework with the reCamera Gimbal edge AI camera from Seeed Studio.

reSpeaker XVF3800 Control Wakeword and NLU with Pico-voice​

pir

This demo showcases how wake word detection using Picovoice Porcupine works together with Picovoice Rhino for efficient speech-to-intent processing on a Raspberry Pi. The system first listens for a keyword to activate, and once triggered, it directly converts spoken commands into actionable intents without relying on heavy cloud processing. This approach is highly optimized for low-resource embedded devices, making it ideal for robotics and edge AI applications. It enables low-latency, real-time voice interaction, ensuring fast and reliable performance even on constrained hardware.

The Efforts of Contributor​

Past Weekly wiki​

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