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What is the purpose of a "connection" for indexedDB operations? Why would I make a long-lived "connection" vs "open/close" for each transaction? How do I evaluate the "overhead" of "open/close"?

After several years it's finally here, Linear for iOS and Android. Natively built with Swift and Kotlin. Work of a small, dedicated team. This is the v1.0 release — we will keep building and want to hear your feedback!

The TartanDrive 2.0 dataset, visualized using Foxglove, was designed to support advanced research in off-road autonomous driving. This dataset provides extensive multimodal data collected through diverse and challenging terrains in western Pennsylvania, USA. It facilitates a

Learn how to visualize an Isaac Sim simulation in real time using Foxglove’s custom extension. Let's go! 🤖 🚀 Many robotics engineers use NVIDIA Omniverse’s popular Isaac Sim to simulate and test robotic systems in a realistic 3D environment, enabling effective algorithm

Meet Oogway! Duke Robotics Club’s AUV entry for RoboSub 2024. 🌊 The Duke Robotics Club (DRC), part of Duke University’s Pratt School of Engineering, is a student-run organization focused on large-scale robotics projects, particularly Autonomous Underwater Vehicles (AUVs).

For those who haven’t met us live at a conference, we’d like to introduce Bodi, Foxglove’s unofficial “mascot” – a Unitree Go1 visualized using Foxglove. 🐾 In this visualization, we’re highlighting two key aspects: 1.We’re projecting images onto a spherical sector in 3D rather

💉 The Intelligent Manipulation (d-lfd) dataset visualized using Foxglove 💉 D-ifd, developed by the Intelligent Manipulation Lab (IMANLAB), is a comprehensive resource for tackling the intricate task of autonomous robotic suturing. Focused on the task of needle insertion into

🚨 Getting started with Foxglove is incredibly simple using the Foxglove WebSocket Bridge app on your iOS device. 📱 Connect your iOS device’s sensors—like GPS, accelerometer, and camera—to Foxglove through WebSocket for real-time data visualization. Download the app, input your

🚘 The comma2k19 dataset visualized using Foxglove 🚘 Comma2k19 offers a rich collection of real-world driving data, captured over 33 hours on California’s Highway 280. This dataset is crafted to fuel innovation in developing fused pose estimators and mapping algorithms. The

🏎️💨 The AssettoCorsaGym dataset visualized using Foxglove 🏁✨ A simulation benchmark for autonomous racing with large-scale human data. Built on the high-fidelity racing platform of Assetto Corsa, this dataset provides an unparalleled foundation for developing and testing

Learn how to easily access your robotics data collected in the field from the comfort of your desk. 📆 Join us on December 10th for a virtual live demo of the Foxglove Agent. The Foxglove agent simplifies data extraction and management by running directly on your robots,

🔦 Spotlight: Monash Motorsport autonomous race car and using Foxglove to develop autonomous concepts. 🏎️ 🏁 Following two successful Driverless demonstrations at the Australasia competition in 2022 and 2023, Monash Motorsport set their sights on a new challenge: their first

The Foxglove NVIDIA Isaac Sim extension enables real-time visualization of robotics simulation data directly in Foxglove. In case you missed our previous post on the extension, we released an Isaac Sim extension that enables seamless visualization of simulation data in

The 1X #EVE humanoid robot visualized using @Foxglove 🤖 EVE, a humanoid robot standing 6 feet 2 inches tall and weighing 192 pounds, is engineered for industrial and domestic environments with human-inspired musculature driven by Revo1 direct-drive motors. Equipped with

🧑‍💻 Converting the Waymo Open dataset to MCAP 👇 Datasets play a pivotal role in advancing robotics and embodied AI, providing essential material for developing, evaluating, and refining algorithms used in perception, decision-making, and control. Yet, the diversity in dataset

🚨 Foxglove release 2.20 is now available 🚨 You can now expand or trim the data range visualized in Foxglove by clicking the “Adjust playback range” button in the lower-left corner while replaying a recording or time range of data. The topics sidebar has been enhanced with a

📣 Announcing: the Foxglove Academic Plan 🧑‍🎓 Behind every robotics and embodied AI breakthrough are the researchers, educators, and students reshaping how machines interact with the world. 💜 To support these innovators, Foxglove is launching a free Academic Plan for academic

🚨 UX update: expand or trim the visualized time-range ↔️ With release 2.20, you can now refine the range of data visualized in Foxglove with ease. When replaying a recording or a specific time range of data, simply click the “Adjust playback range” button in the lower left

The MIN3D dataset visualized using Foxglove. Developed by the 3DOM-FBK research group, the MIN3D dataset captures subterranean scenarios using a custom-built wheeled robotic platform. These environments are characterized by unstructured terrain, complex geometry, poor

🚨 We just gave the Plot panel a major tune-up. This wasn’t a redesign, but a focused update to remove friction and improve clarity across the board. Highlights include: • New zoom and axis navigation tools • Point inspection and measurement across plot types • 1:1 axis