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AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos

Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine

发表年份
2020
引用次数
31
访问权限
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摘要

Fig. 1: Left: Human instructions for each stage (top) are translated at the pixel level into robot instructions (bottom) via CycleGAN. Right: The robot attempts the task stage-wise, automatically resetting and retrying until the instruction classifier signals success, prompting the human to confirm via key press. Algorithmic details are provided in Algorithm 1.

关键词

Computer scienceRobotArtificial intelligenceTask (project management)Process (computing)Reinforcement learningComputer visionHuman–robot interactionConstruct (python library)Robot learning

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