Introducing tbai, a framework designed to democratize robotics and embodied AI and to help us move towards better athletic intelligence.
Drawing inspiration from Hugging Face (more specifically lerobot 
), tbai implements and makes fully open-source countless state-of-the-art methods for controlling various sorts of robots, including quadrupeds, humanoids, and industrial robotic arms.
With its well-established API and levels of abstraction, users can easily add new controllers while reusing the rest of the infrastructure, including utilities for time synchronization, visualization, config interaction, and state estimation, to name a few.
Everything is built out of lego-like components that can be seamlessly combined into a single, high-performing robot controller pipeline. Its wide pool of already implemented state-of-the-art controllers (many from Robotic Systems Lab), state estimators, and robot interfaces, together with simulation or real-robot deployment abstractions, allows anyone using tbai to easily start playing around and working on novel methods, using the existing framework as a baseline, or to change one component while keeping the rest, thus accelerating the iteration cycle.
No more starting from scratch, no more boilerplate code. Tbai takes care of all of that.
Tbai seeks to support as many robotic platforms as possible. Currently, there are nine robots that have at least one demo prepared, with many more to come. Specifically, we have controllers readily available for ANYmal B, ANYmal C, and ANYmal D from ANYbotics; Go2, Go2W, and G1 from Unitree Robotics; Franka Emika from Franka Robotics; and finally, Spot and Spot with arm from Boston Dynamics.
Tbai is an ongoing project that will continue making strides towards democratizing robotics and embodied AI. If you are a researcher or a tinkerer who is building cool controllers for a robot, be it an already supported robot or a completely new one, please do consider contributing to tbai so that as many people can benefit from your work as possible.
Finally, a huge thanks goes to all researchers and tinkerers who do robotics and publish papers together with their code for other people to learn from. Tbai would not be where it is now if it weren’t for the countless open-source projects it has drawn inspiration from. I hope tbai becomes an inspiration for other projects too.
Thank you all!
