If you're at #ICRA2025, come and see us present RoCoDA in room 411 at 10:15am! Also come by our poster at 10:30am in the same room.

Scaling action prediction with actionfree data is the challenge that we have on our path to scaling robotics. We can reframe the problem in a "what" and "how" framework. This allows building large scale models trained on different subsets of data with (and without) action

TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: toyotaresearchinstitute.github.io/lbm1/ One of our main goals for this paper was to put out a very careful and thorough study on the topic to help people understand the state of the

Imitation learning has seen great success, but IL policies still struggle with OOD observations We designed a 3D backbone, Adapt3R, that can combine with your favorite IL algorithm to enable zero-shot generalization to unseen embodiments and camera viewpoints!

Boston Dynamics and Toyota Research Institute are advancing humanoid robotics with Large Behavior Models (LBMs) for Atlas.