A Self-Supervised Method for Mapping Human Instructions to Robot Policies

ICLR 2019 Hsin-Wei YuPo-Yu WuChih-An TsaoYou-An ShenShih-Hsuan LinZhang-Wei HongYi-Hsiang ChangChun-Yi Lee

In this paper, we propose a modular approach which separates the instruction-to-action mapping procedure into two separate stages. The two stages are bridged via an intermediate representation called a goal, which stands for the result after a robot performs a specific task... (read more)

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