Foxglove is a purpose-built platform for robotics teams to collect, analyze, and learn from the vast quantities of multimodal data required to build, train, deploy, and operate reliable robots. These custom extensions can then be loaded and executed in the Foxglove app. Foxglove also provides User Scripts, a code editor sandbox that allows you to publish pseudo-ROS topics internally to Foxglove.
Manipulate, reduce, and filter existing ROS messages in a way that is useful for visualization in the rest of the app. How to use Foxglove with ZED What is Foxglove? Foxglove is a visualization and debugging tool designed for robotics development. It offers an intuitive interface to inspect sensor data such as camera images, point clouds, and transforms in real time.
With Foxglove, developers can monitor and interact with their robotics applications via ROS 2, making it a powerful tool for analyzing and tuning. Foxglove is a purpose-built platform that empowers robotics teams to visually debug robots, build reliable autonomy, and scale their development. Foxglove is an open-source visualization and debugging tool for robotics.
It enables users to visualize live or previously recorded data, facilitating easy inspection of sensor inputs such as images, point clouds, and more. Foxglove offers a rich suite of configurable tools and can be seamlessly integrated with the web. Installing Foxglove with snaps To install the Foxglove Studio desktop app, you only need the following command: $ sudo snap install foxglove-studio That's it.
You are ready to go. To launch the app, you can either look it up in your application launcher or just run: $ foxglove. This tutorial provides a detailed overview of the Foxglove SDK, enabling efficient understanding and utilization for both theoretical and practical applications.
The Foxglove SDK facilitates: Live Data Streaming: Real-time visualization of robot data in the Foxglove app. Data Logging: Recording data to MCAP files for offline analysis. Available in C++, Python, and Rust, the SDK is open.
This app demonstrates how custom data can be streamed to Foxglove using the Foxglove WebSocket protocol. The app hosts a WebSocket server; Foxglove connects to the server and requests data to be streamed depending on the panels used. We knew there was a better way to develop and debug our robots.
Our vision for Foxglove is to ease these workflow pains and to accelerate robotics development for everyone. During our time working at Cruise, we experienced firsthand the problems that a fully integrated data visualization app could solve for a self. Foxglove is the easiest and fastest way to accelerate and scale your robotics and physical AI development.
Foxglove is purpose-built visualization and observability that empowers over 10,000 robotics and physical AI developers, while supporting hundreds of robotics companies in accelerating and scaling their development. By streamlining every step of the process.