Visualized using Foxglove: A simulation of NASA’s Valkyrie humanoid lifting an item… perhaps in space? 🚀 NASA’s Valkyrie humanoid was designed and built by the Johnson Space Center (JSC) Engineering Directorate to be a robust, rugged, entirely electric humanoid robot capable of operating in degraded or damaged human-engineered environments. The robot is running #ROS and is equipped with a Carnegie Robotics MultiSense SL in head providing lidar depth, stereo depth, and monocular vision. It also has secondary head cameras, torso cameras, shin cameras, knee lidars, and six-axis force-torque sensors in feet. Actuation is provided by five series-elastic rotary actuators and two linear actuators in the arms; six finger and thumb actuators; five series-elastic rotary actuators in the upper legs and two in ankles; five series elastic rotary actuators drive the torso. In total, Valkyrie has 44 degrees of freedom – (Neck: 3 DoF; Arm: 4 DoF x 2; Wrist: 3 DoF x 2; Hand: 4 DoF x 2; Torso: 3 DoF, Leg: 6 DoF x 2; Ankle: 2 DoF x 2). You can keep track of and visualize all of these transforms by visualizing them in Foxglove. The Foxglove UI also allows you to easily tweak transform values to account for calibration or alignment offsets. When viewing a transform in the 3D panel go to panel settings> transforms> editable "On". Then go to the specific transform you're interested in and edit the ‘translation’ or ‘rotation’ offset. Keep in mind this will adjust the transform for visualization purposes only, it does not edit messages. This dataset was provided by Velin Dimitrov and Northeastern University. Link to the dataset in the comments. 👇 #DataViz #Analytics #Robotics
Foxglove
Software Development
San Francisco, CA 8,401 followers
Visualize and manage multimodal data in one purpose-built robotics development platform to build better robots, faster.
About us
Foxglove is pioneering a new era for robotic development and embodied AI. Our powerful interactive visualization and data management capabilities empowers robotic developers to understand how their robots sense, think, and act in dynamic and unpredictable environments. All with the performance and scalability needed to create autonomy and build better robots, faster.
- Website
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https://foxglove.dev
External link for Foxglove
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Specialties
- Multimodal Data Visualization, Multimodal Data Management, Robotics Development, and Autonomous Robotics Development
Products
Foxglove | Robotics Data Visualization and Management
Data Visualization Software
Understand how your robots sense, think, and act through Foxglove's multimodal data visualization and management platform. * Connect directly to your robot or inspect pre-recorded data. * Use interactive visualizations in customizable layouts to quickly understand what your robot is doing. * Overlay 2D and 3D images with lidar, point cloud, and other sensor data incl. annotations and bounding boxes to see what your robot sees. * Display and control robot models in interactive 3D scenes to understand how your robots move through the world. * Analyze everything as you travel through your robots mission and journey with Timeline and events. * Build bespoke panels, convert custom messages, and alias topic names to support your team’s unique development workflows. * Use Foxglove offline, store your data at the edge, then in your cloud or ours —no matter what your connectivity or data constraints are.
Locations
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Primary
San Francisco, CA, US
Employees at Foxglove
Updates
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A massive thank you to ReSim.ai for sponsoring #Actuate2024 and helping make this the robotics and embodied AI event of the year. If you haven't yet, check out ReSim.ai: Virtual testing that supercharges development. ReSim makes plug-and-play virtual testing infrastructure for modern robotics and AI companies. ReSim works with any simulation or replay software. It enables parallel cloud execution at scale and unlocks pass/fail, A/B testing and rich metrics. ReSim makes it simple to know whether your robotics/AI stack is improving before you ship. Head on over to https://buff.ly/3Rnfteb to pick up your tickets today.
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🚨 New speaker announcement: James Kuszmaul, Senior Robotics Software Engineer, Blue River Technology has joined the #Actuate2024 speaker lineup! 👋 Welcome, James, we can't wait to hear everything you have to say on September 18. Get your tickets today hear everything James has to say at Actuate! 🎟️ 👉 https://buff.ly/3Rnfteb
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Foxglove 2.9.0 has shipped 🚀 Settings is now consolidated to make configuring Foxglove easier. Navigate to the Settings page, where you can manage your user settings like color scheme, install local extensions, and browse available public extensions. Organization admins can manage organization settings like billing, custom properties, and API keys. This release also come with: 🔐 You can now set Google, Microsoft, or Okta as a required SSO method for users to log in with. 📝 Added helpful error messages and help text if invalid math modifiers are used 🏋️ Performance improvements to transform handling ␞ Improved the user experience when invalid filters are applied to the recordings list view 💜 and much more... Download link in the comments 👇
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🚨 New speaker announcement: Jeremy Steward, Senior Software Engineer, Tangram Vision is ready to talk and rock at #Actuate2024 👋 Welcome, Jeremy, we're very much looking forward to your talk September 18. Get your tickets today hear what Jeremy has to say at Actuate! https://lnkd.in/gg5VZ6EM
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🚨 New speaker announcement: Kalpana Seshadrinathan, Head of Deep Learning, Skydio has joined the #Actuate2024 speaker lineup! 👋 Welcome, Kalpana, we can't wait to learn from you on September 18. Get your tickets today and hear Kalpana speak at Actuate! https://buff.ly/3Rnfteb
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🔦 Student Spotlight: The Véhicule Autonome Université Laval (VAUL) team, champions at the 15th Grand Prix in Yokohama, Japan during ICRA 2024. 🏆 The F1TENTH is an open-source platform for autonomous systems research and education. Students and researchers around the world use it to learn and experiment with perception, planning, and control by building an RC car 1/10th the size of an F1 car. Weighing around 4kg, their cars are capable of driving autonomously up to speeds of 12 m/s and enduring lateral accelerations of 5 m/s^2 while cornering. The car is equipped with a lidar, an IMU, and an on-board Jetson Orin NX that does all the calculations –external computing is not allowed in competition. To get real-time data from their car, they use the Foxglove bridge to stream data over a local websocket connection. The bridge handles local networking details so anyone on the team can use Foxglove to visualize data from and assess the performance of the car. A special thanks to William Fecteau, Tommy Bouchard Lebrun, Effie Daum, Jean-Michel Fortin, and Nicolas Lauzon from the VAUL team for helping put this article together. Link to the spotlight article, which includes a very cool sample dataset visualization using Foxglove, in the comments. 👇
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🚨 Announcing several additions to the line up at Actuate 2024! 💜 This is the robotics & embodied AI conference of the year. Actuate is a one-day single-track event with speakers from some of the best robotic companies on the plant, like: Wayve Intrinsic Physical Intelligence Electric Sheep Skydio Blue River Technology Open Robotics Foxglove Tangram Vision Agility Robotics Scythe Robotics Open Navigation LLC Farm-ng Go to actuate.foxglove.dev today while there's still some tickets remaining. This is going to be a sold out event so don't miss out. 68 days to go! #Actuate2024 #Robotics
The Robotics & Embodied AI Conference of the Year
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Foxglove reposted this
At Actuate 2024 Chris Lalancette from Intrinsic Open Robotics will be speaking about Zenoh and ROS 2. “To simplify deployment and debugging, the ROS 2 core team has spent a good part of the last year integrating Zenoh into ROS 2.” Sounds interesting, and maybe we can all stop fighting with DDS soon? Use code ADRIANSOCIAL for 25% discount on tickets. https://lnkd.in/gi_PNUEA
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A big day for Chef Robotics. We’re very proud of everything that’s been accomplished and honored to continue to be a part of everything that’s to come!
Today is a big day at Chef! After working in stealth mode, we are finally lifting the veil on what Chef does. Until now, we’ve kept our heads down as we developed our first-of-its-kind food manipulation AI and robot system. Now, with a renaissance in AI, we find ourselves uniquely positioned as the market leaders in the food robotics space and are ready to tell our story. Over the past two years, Chef has done 20,000,000 servings in production, has robots deployed in 6 cities in the US and Canada, and has learned how to manipulate hundreds of ingredients. We're now scaling our AI-enabled robotic systems around North America. At Chef, we believe that the biggest impact of AI is going to be on the physical world. And we believe the best place to start is the food industry. With 1.137M jobs unfilled, the food preparation industry the #1 labor shortage in the country. Americans do not want to do this work. These growing labor shortages are forcing food companies to leave millions of dollars on the table every year in unmet demand. As this pain becomes more acute, food companies are more aggressively seeking out alternatives, including off-shoring parts of the food supply chain to other countries where there is more labor available; this of course comes with its own significant risks for the US. Chef has chosen to approach this problem in a systematic way. Rather than go directly to restaurants - as many food robotics have done - we've started in food manufacturing. Food manufacturing is a market that most assume to be already automated. But in reality, it's not. So anytime you have a burrito from Trader Joe's, a frozen prepared meal, a salad from Starbucks, a meal on an airplane, or a dish when you're at a large hospital system, it's likely made by humans in an industrial kitchen. At Chef, we've built an AI-enabled system that can slide onto existing production lines just like a human. Chef is built to be flexible so it can handle almost any ingredient, no matter how you cut, cook, or prep it. In these high volume operations, Chef can generate ROI for our customers, all while gaining valuable training data on how to manipulate food. Over time, Chef can leverage those AI models and deploy at more lower volume operations like ghost kitchens and fast casuals. We're now going public and talking about why we've chosen food manufacturing as a starting point, how exactly our robots work to help customers generate ROI, showing exclusive customer case studies, and talking about where we see this all going in both the immediate and long-term. Check out the links in the comments for: - Our new website which includes case studies from customers like Amy's Kitchen, Intelligent Foods (Sunbasket), & Chef Bombay - Our CEO Rajat Bhageria's blog post "Lifting the Veil on Chef" - Our Mission and Master Plan - Some great press and podcasts We are proud to be one step closer to accelerating the advent of intelligent machines in the world 🚀