
FrodoBots
535 posts

FrodoBots
@frodobots
The development lab building robotic adventures on @bitrobotnetwork Explore our projects: https://t.co/FFzVZ5kptX


We have SLAM on the Robocap! 🎉 Visualized with @rerundotio Using @NVIDIAAIDev cuVSLAM for GPU-accelerated multicamera tracking. I basically wrote zero code myself and fully used Claude Code for this. It worked because I had so many existing examples to point to that it just wrote everything the way I would have. A few technical wins: 1. Used rattler-build from @prefix_dev to package the compiled cuVSLAM CUDA binaries, which made it SUPER easy to use across repos. This also means it works on the DGX Spark (ARM64) out of the box. 2. Zero-setup experience: git clone && pixi run track-robocap auto-downloads a 100MB dataset from HuggingFace and tracks frames. 3. Real-time 3D visualization with trajectories, landmarks, pose graphs, and video playback in Rerun. Still visual-only (not visual-inertial yet), and loop closure needs some debugging. Next steps are getting this into a Gradio interface, then into daggr, and extending it to work with other datasets from exoego-forge. The last piece I'm excited about: Rerun's RRD files now support layers for incremental data. Planning to build pipelines that go from raw sensor data → slam -> human pose → depth estimation → etc. Repo here: github.com/rerun-io/roboc…


Very excited about all the cool stuff I'll be shipping in the next few months with @rerundotio and @BitRobotNetwork =]. Been looking forward to getting this hardware for a while

Calling for Competing Teams! Help push the frontier of Bimanuals Robotics at the 2nd What Bimanuals Can Do (WBCD) at ICRA2026! - 3 concurrent locations (Vienna, Shanghai, Bay Area) - 3 real-world applications - Simulation & UMI Support - $200k Prize Pool A thread 🧵

How can robots learn to autonomously navigate in any city, any country around the world, without maps or prior experience of the environment? Introducing a new project: 🚀 Data Scaling for Navigation in Unknown Environments 🚀, which brings us closer to this goal!

How can robots learn to autonomously navigate in any city, any country around the world, without maps or prior experience of the environment? Introducing a new project: 🚀 Data Scaling for Navigation in Unknown Environments 🚀, which brings us closer to this goal!

SN/06 & SN/07: TeleArms is now in private beta. Remotely control robotic arms to teach robots how to grab, move, and place objects — and earn rewards. Early access is extremely limited. Join our Discord, repost, and tag a friend to move up the waitlist ↓

🚨 EXTENDED: @frodobots and @ET_Fugi Season 2 Quests now run until January 2nd! The mission: 🤖 Pilot your bot ✅ Complete tasks 📈 Stack Qualified Miles 💰 Earn up to 60 USDC More time to grind. More time to earn. Drive your bot now → ygg.link/Frodobots





We are so back! The Messari Theses for 2026 is live and available for free. Jump into the full report now ⬇️

We kept hitting the same wall: expensive hardware, limited access, and autonomy experiments stuck inside the lab. So we teamed up with @frodobots and @LeRobotHF to change that. Introducing the Earth Rover Mini+ : a <$300 open-source autonomous rover that’s already driving in cities worldwide. With 7TB+ of real teleop data and seamless LeRobot integration, you can train and deploy policies remotely over 4G in minutes. No more “sim-only” constraints. No more wondering where or how to deploy. Just real robots, real streets, real data and its completely opensource Start building on Earth Rover now And a special shoutout the team who made this happen at SIGRobotics: @saketh0621 @SomrishiB @Hassoonu618 @MittalAarsh




