Blog
Get Started with Foxglove: Videos for New Users
If you're getting started with Foxglove, one of the fastest ways to learn is by opening real data and seeing how the app works in practice.
Calibrating a monocular camera for the LeKiwi robot using ROS 2
This article details the process of calibrating a USB webcam for the LeKiwi robot, modifying the standard ROS 2 camera calibration process to run headless without a display, using terminal logging and automatic result saving.
Announcing Programmatic Layouts in Foxglove
Define, compose, and reuse Foxglove layouts entirely from code in Notebooks
Announcing: Tabs for the Foxglove Desktop App
Work with multiple datasets in a single window instead of juggling separate instances.
Upgrading the LeKiwi into a LiDAR-equipped explorer
Upgrading LeKiwi robot with a 2D LiDAR and ROS 2, transforming it into a low-cost open-source autonomous platform
Turning a VLP‑16 Into a “Spherical” Scanner
How a secondhand VLP‑16, one extra mechanical axis, and encoder-based deskewing turned into a cave-mapping learning project
Announcing: Event Types
Structured annotations for robotics data.
Extending PX4 support.
Introducing the Foxglove PX4 extension.
Announcing: Index-in-place for Self-hosted Sites.
Index original recordings in your own bucket without duplicating data.
Robots are eating the world that software could not.
Announcing our $40M Series B to scale our data platform for Physical AI.
Jupyter Notebooks integration.
Visualize your robotics data directly in Notebooks.
Embed Foxglove using an iframe.
Foxglove’s data visualizations are now just an <iframe> away.
Use Cloudini to visualize compressed point clouds in Foxglove.
Visualize compressed LiDAR and ROS point clouds in Foxglove with the new Cloudini Converter extension
Announcing: Remote Visualization & Teleoperation (private beta)
Announcing: Remote Visualization & Teleoperation (private beta)
Actuate 2025 day 2 recap.
Physical AI has moved from niche to necessity.
The announcements from Foxglove at Actuate 2025.
Building the missing infrastructure layer for Physical AI.
Actuate 2025 day 1 recap.
The future of Physical AI is already in motion.
Message path downselection.
Building high-performance deserializers to make plots load fast.