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An Empirical Study on What Matters for Viewpoint-Generalizable Policies in Visual Imitation Learning
Visual imitation learning is a promising approach to training robot manipulation policies capable of completing a wide variety of tasks. However, policies today remain brittle to viewpoint perturbations, making deployment in diverse environments a challenge. We present a controlled empirical study o
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