Learning One-Shot Imitation From Humans Without Humans
نویسندگان
چکیده
منابع مشابه
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Demonstrations provide a descriptive medium for specifying robotic tasks. Prior work has shown that robots can acquire a range of complex skills through demonstration, such as table tennis (Mülling et al., 2013), lane following (Pomerleau, 1989), pouring water (Pastor et al., 2009), drawer opening (Rana et al., 2017), and multi-stage manipulation tasks (Zhang et al., 2018). However, the most ef...
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ژورنال
عنوان ژورنال: IEEE Robotics and Automation Letters
سال: 2020
ISSN: 2377-3766,2377-3774
DOI: 10.1109/lra.2020.2977835