Huge thanks to @Katherine_Scott and @mrpollo for hosting us at the Joint ROS / PX4 Meetup at Neros in El Segundo, CA! It was an absolute blast connecting with the community in person!
Missed the demo? No worries! Here’s the scoop on what we unveiled (we showed it with PX4 ULogs, but yes, ROS2 and ROS1 are fully supported!)
The problem? We felt the pain of wrestling with robotics data and LLMs. Unlike PDF files, we’re talking about massive sensor arrays, complex camera feeds, dense LiDAR point clouds – making LLMs truly useful here has been a real challenge… at least for us.
The solution? Meet Bagel ( GitHub - shouhengyi/bagel: Bagel is ChatGPT for physical data. Just ask questions. No Fuss. )! We built this powerful open-source tool to bridge that gap. Imagine simply asking questions about your robotics data, instead of endless parsing and plotting.
With Bagel, loaded with your ROS2 bag or PX4 ULog, you can ask things like:
- “Is this front left camera calibrated?”
- “Were there any hard decelerations detected in the IMU data?”
Sound like something that could change your workflow? We’re committed to building Bagel in the open, with your help! This is where you come in:
- Dive In! Clone the repo, give Bagel a spin, and tell us what you think.
- Speak Your Mind! Got an idea? File a feature request. Your insights are crucial to Bagel’s evolution.
- Code with Us! Open a PR and become a core contributor. Let’s build something amazing together.
- Feeling the Love? If Bagel sparks joy (or solves a big headache!), please consider giving us a star on GitHub
. It’s a huge motivator!
Thanks a lot for being part of this journey. Happy prompting!