Foxglove

🤖 Another robotics conference? Hear us out—there are tons of conferences targeting either research and academia OR trade shows for buying and selling solutions. We wanted something different. 👉 Actuate is a conference for robotics developers focused on sharing engineering ideas and best practices for building robots that solve business needs with sessions from people like: ➡️ Vijay Badrinarayanan, VP of AI at Wayve ➡️ Sergey Levine, co-founder of Physical Intelligence ➡️ Chris Lalancette, ROS 2 Technical Lead at Intrinsic ➡️ Steve Macenski, Owner of Open Navigation LLC ➡️ Katherine Scott, Developer Relations at Open Robotics ➡️ Adrian Macneil, co-founder and CEO at Foxglove Excited yet? Click the link to learn more and grab your ticket! https://bit.ly/3UDl3uR #robotics #ROS #Actuate2024

MCAP and ROS 1 bag are two broadly comparable file formats for recording robotics data. Here's a look at a less-publicized feature of MCAP over bag files: improvements in the index structure that enable faster summarization over remote connections or slow storage devices. https://bit.ly/3wo5jm9 #robotics #ROS #MCAP

Interesting TEDx talk on reaching a goal of using mobile robots to build and maintain models of the world through lifelong learning, improving performance over time, and helping humans perform tough tasks. https://bit.ly/3JPIlaA #robotics #MachineLearning

Many organizations have invested in digital transformation with mixed success—now, new asset reliability solutions make it easier to uncover insights and eliminate surprises. 🔎 https://bit.ly/3F6wN0c via Boston Dynamics #DigitalTransformation #robotics

👋 DYK? If you're curious about Foxglove, but don't have your own robotics data on hand, you can "Explore sample data" to load sample data adapted from nuScenes in an example layout. What type of data sources do you prefer to use? 🔸 Live Data 🔸 Local Data 🔸 Imported Data #DevCommunity #robotics

🇯🇵 What an epic week in Japan at #ICRA2024! Here are some highlights ✨ 🚀 We were thrilled to see F1 autonomy team, Véhicule Autonome de l’Université Laval (VAUL) leveraging Foxglove for data visualization. 🐕 It felt like we took a beloved puppy to the dog park as we watched our trusty robot mascot, Bodi, playing with other Robo pets. 🦆 Excitement built around our booth as we hosted a virtual duck race! And a huge congratulations to Alessandro Gozzi, Research Engineer at Intuitive who won the LEGO R2-D2! Thank you to everyone who stopped by our booth to learn about multimodal data visualization with Foxglove. We loved sharing our product with you, hearing about your use cases, and talking industry trends! 🚀 #Robotics #DataViz

An innovative solution to the U.S. meat industry's long-running labor shortages: utilizing robotics to automate notoriously difficult jobs. 🥩🤖 Celebrate #NationalBarbecueDay by discovering how to use robotics to up your grill game! https://on.wsj.com/4b6V4l9 via The Wall Street Journal #Automation #Robotics

The robotic arm is one of the first robotic automations to be used at scale in production, primarily manufacturing. It’s a great representative of why you should use Foxglove when you’re building robots at scale. 🤖 Add a URDF file to Foxglove’s 3D panel. Then, place your robot model in the context of a real-world environment for more true-to-life debugging; use the joint controls in the panel settings to move, rotate, and otherwise interact with your robot model; or use transform messages from your robot to automatically position your robot model's joints. Foxglove schemas are framework-agnostic—in this video, the ‘FrameTransform’ which is used in the 3D and Image panels—and can be implemented using any supported message encoding: ROS, Protobuf, JSON and more. Want to learn more? Check out the Foxglove docs on schemas: https://bit.ly/3y1QKoI Thanks to Universal Robots for the UR5e ARM simulation! Get more info on the UR5e robot: https://bit.ly/3wdg0rA Dive in and discover more about our 3D panels like shown in this video, here: https://bit.ly/3WuQKrq #Robotics #Automation #ROS

By adopting Foxglove, the Center for Coastal and Ocean Mapping / NOAA-UNH Joint Hydrographic Center's multidisciplinary robotics team has gotten insight into their marine vessels’ data faster than ever—whether in the lab or out on a mission at sea. This has helped the entire team codify newly streamlined processes for inspecting, analyzing, and exploring their mission logs. https://bit.ly/3QurBtq #robotics #ROS

AI is disrupting how robots learn, leaving companies and researchers needing more data. Getting it means wrestling with a host of ethical and legal questions. https://bit.ly/3JQP6Jk via MIT Technology Review #AI #robotics