Generalization for Robot Learning In The Wild | Embodied AI Lecture series at AI2

How can we train a robot that can generalize to perform thousands of tasks in thousands of environments? This question underscores the holy grail of robot learning, more generally machine learning, research. Current AI systems are incredibly specific in that they only perform the tasks they are trained for and are miserable at generalization. One fundamental reason is that these systems are trained once and kept fixed at inference, thus making it difficult to generalize to scenarios far from the …

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