Robots in Rerun, a glimpse of things to come! 🤖 🖼
This example shows
@BostonDynamics Spot robot by combining its URDF and onboard sensor data. It is built using Rerun’s proof-of-concept C++ ROS1 bridge, which now works for limited use cases.
For all you roboticists: Rerun is, to our knowledge, the most performant multimodal visualizer out there and is already used by some of the best teams in the world. Over the next months, we will focus heavily on robotics use cases (e.g., official support for ROS2 and MCAP). If you’re working on a robotics (or other physical world AI) use case and are missing something in Rerun, please let us know!
Why is robotics important to us? For two main reasons. First, we believe robotics, and more broadly AI for the physical world, is the best shot at a world of abundance and is about to have its moment. Second, we believe adopting multimodal AI in software more broadly will make a lot of software look like robotics software. There are many lessons for the broader ecosystem to learn from the robotics community on building products that work in dynamic and uncertain environments.