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Reward Isn’t Free: Supervising Robot Learning with Language and Video from the Web | SAIL Blog

ai.stanford.edu · 2,363 words · saved by 1 readers

This work was conducted as part of SAIL and CRFM.

This work was conducted as part of SAIL and CRFM . Deep learning has enabled improvements in the capabilities of robots on a range of problems such as grasping 1 and locomotion 2 in recent years. However, building the quintessential home robot that can perform a range of interactive tasks, from cooking to cleaning, in novel environments has remained elusive. While a number of hardware and software challenges remain, a necessary component is robots that can generalize their prior knowledge to new environments, tasks, and objects in a zero or few shot manner. For example, a home robot tasked wit

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