Kuancheng Wang

What Matters in Learning from Large-Scale Datasets for Robot Manipulation

Imitation learning from large multi-task demonstration datasets has emerged as a promising path for building generally-capable robots. As a result, 1000s of hours have been spent on building such large-scale datasets around the globe. Despite the continuous growth of such efforts, we still lack a sy…