"TRI trained a series of diffusion-based LBMs on almost 1,700 hours of robot data and conducted 1,800 real-world evaluation rollouts and over 47,000 simulation rollouts to rigorously study their capabilities. It found that LBMs:

• Deliver consistent performance improvements relative to from-scratch policies
• Enable new tasks to be learned with 3-5× less data in challenging settings requiring robustness to a variety of environmental factors
• Improve steadily as pretraining data increases"

Check out The Robot Report's breakdown coverage of LBM 1.0.