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Learn how to turn a Steam Deck into a portable all-in-one LeKiwi controller and Foxglove monitoring station using Pixi, Distrobox, and ROS 2.
Bring Your Own Storage lets enterprises keep raw MCAP data at rest in their own cloud storage while Foxglove manages the compute for indexing, query, and visualization.
Search MCAP data at petabyte scale. Curate results as sessions, events, and the training datasets that feed your next model iteration.
Foxglove now records a full timeline for device properties—whether you update them in the UI or via the API—so teams can see when metadata changed and what it was before.
Basic Seats let you share data visualization across your team without paying for full developer capabilities - ideal for field ops, executives, and contractors who need access without authoring.
Self-service pricing now starts lower, with Pro at $20/month for 1 TB storage and 3 Developer Seats, unlimited Basic Seats on paid plans, and new volume discount tiers as usage grows.
Jion Kubo shares a Foxglove extension that renders photorealistic 3D tiles, fuses ROS 2 robot data in a local ENU frame, and publishes goals and clicked points without leaving the 3D view.
Keep your existing data format, control playback from the Foxglove UI, and replay the same run again and again.
Introducing GrandTour: a large-scale, open-access legged-robotics dataset spanning 49 missions across diverse conditions to accelerate the development and benchmarking of autonomy algorithms.
This August, more than 1,000 robotics developers will gather in San Francisco for Actuate 26, our annual conference for the engineers and technical leaders building the next generation of AI for the physical world.
Foxglove now supports PNG compressed depth images as 3D point clouds, RGB colorization from sibling images, and custom color modes for depth encodings in the Image panel.
Sessions are a new way to organize and analyze device data in Foxglove that maps directly to how robotics developers view and analyze data.
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.
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.
Define, compose, and reuse Foxglove layouts entirely from code in Notebooks
Work with multiple datasets in a single window instead of juggling separate instances.
Upgrading LeKiwi robot with a 2D LiDAR and ROS 2, transforming it into a low-cost open-source autonomous platform
How a secondhand VLP‑16, one extra mechanical axis, and encoder-based deskewing turned into a cave-mapping learning project
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