Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
international conference on robotics and automation, 2018.
In this work, we propose a novel robot learning framework called Neural Task Programming (NTP), which bridges the idea of few-shot learning from demonstration and neural program induction. NTP takes as input a task specification (e.g., video demonstration of a task) and recursively decomposes it into finer sub-task specifications. These s...More
Full Text (Upload PDF)
PPT (Upload PPT)