Foxglove

Data collection for forestry, timber, and agriculture currently relies on manual techniques which are labor-intensive and time-consuming. TreeScope is the first semantically segmented lidar dataset collected with robotic systems in agricultural environments. It provides lidar data and ground-truth data for semantic segmentation and diameter estimation from agricultural environments to address the counting and mapping of trees in forestry and orchards. This example visualizes data from their custom sensor platform, including sensor data from lidar, IMU, GPS, RGBD and thermal cameras, along with ground-truth data with over 1,800 manually annotated semantic labels for the tree stems and field measurements of tree diameters. Check out their Github repo for an overview on how to use the data and benchmark scripts to evaluate the performance of diameter estimation and semantic segmentation algorithms, along with their website for more info. The Treescope dataset has been provided by the research of Vijay Kumar, Dean of Penn Engineering and Kumar Robotics, Derek Cheng, Fernando Cladera, Ankit Prabhu, Xu Liu, Alan Zhu, Patrick Corey Green, Reza Ehsani, PhD, and Pratik Chaudhari. Links to the dataset and to learn more about the project in the comments. #DataViz #Analytics #Robotics

🚨 We recently introduced two new tools to help you diagnose and resolve import errors. If you encounter a “quarantined” import failure, clicking the triple-dot menu next to the failed entry will reveal two new options: Download and Retry. 🙌 Read the full details in our blog article. Link in the comments 👇

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 development and validation without the need for physical prototypes. While most simulation environments offer a UI to visualize the simulated “ground truth,” it’s also valuable to view the simulation from the robot’s perspective. This provides key insights into the robot’s decision-making processes and allows for closer monitoring of its interactions with the environment. That’s why we created an extension to seamlessly connect Foxglove to Isaac Sim. Link to the tutorial in the comments. 👇 #IsaacSim #Robotics #DataViz #Simulation

“We expected just easier visualization, but it turned out to be much more—unlocking invaluable efficiency for all our developers.” Robert Sun, Founding Engineer, Dexterity, Inc. Check out the Foxglove + Dexterity success story to learn how Dexterity saved hundreds of thousands and accelerated their development using Foxglove. 💜 Link in the comments 👇

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 development and validation without the need for physical prototypes. While most simulation environments offer a UI to visualize the simulated “ground truth,” it’s also valuable to view the simulation from the robot’s perspective. This provides key insights into the robot’s decision-making processes and allows for closer monitoring of its interactions with the environment. That’s why we created an extension to seamlessly connect Foxglove to Isaac Sim. Link to the tutorial in the comments. 👇 #IsaacSim #Robotics #DataViz #Simulation

Ruzena Bajscy is still laying down the challenges after more than 60 years creating the field of robotics and AI. Epic. No... Epochal. https://lnkd.in/gA9W8Ud5

“Investors are surprised with the progress we’ve made with relatively few engineering resources, and it’s because we are leveraging tools like Foxglove”. Divya Thakur, Founder at Yard Robotics. Check out the Foxglove + Yard Robotics success story to learn more. 💜 Link in the comments. 👇

🥏 Foxglove 2.14.0 has shipped! 🥏 Highlight: You can now retry or download failed imports directly from the Import Errors tab on the Recordings page. Simply click the ⁝ menu on any row in the table and select Retry or Download to take action on the quarantined file. This release also comes with: 🌎 Clicking the Plot button in a Raw Messages panel defined with a global variable will now pass the variable reference—rather than the current value—to the new Plot panel. 📝 Improved memory optimization for plots and state transitions for recorded sources. 🎆 Collada textures can now load on the desktop app. 🍳 Panning in a Plot panel no longer causes current time indicator on the playback bar to jump around. 💜 And much more... Let's go! 🧨 Download link in the comments 👇

Last week, we hosted our incredible first-ever #Actuate2024—our inaugural conference for embodied AI and robotics developers. The feedback from the community has been even more amazing than we could have imagined. The big takeaway: we need a bigger venue for 2025! Missed the event? Want to watch the recordings? Sign up, and we’ll send you a link when the recordings go live: https://buff.ly/3BmDZHe

Muchas gracias to everyone that attended the "Saca el máximo partido a Foxglove empleando tus propios datos" workshop at #ROSConES2024. It was a full house! We’re so grateful for the global robotics community! Even with all the amazing #Actuate2024 hype last week, we wanted to make sure that if anyone has any follow-up questions, you don’t hesitate to reach out and let us know. So please get in touch with us if you do have any questions. Also, a huge thank you as well to José Luis Millán Valbuena our resident Foxglove expert, for running the workshop. It wouldn’t have been a massive success without you! 💜 ¡ Hasta la proxima España! 💜