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Название: Wearable Technology for Robotic Manipulation and Learning
Автор: Bin Fang, Fuchun Sun, Huaping Liu
Издательство: Springer
Год: 2020
Страниц: 219
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Provides a systematic and comprehensive introduction to robotic imitation learning. Introduces demonstration-learning-based solutions for robotic manipulation. Showcase the applications of wearable devices in robotic learning. Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans’ intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics.
Автор: Bin Fang, Fuchun Sun, Huaping Liu
Издательство: Springer
Год: 2020
Страниц: 219
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Provides a systematic and comprehensive introduction to robotic imitation learning. Introduces demonstration-learning-based solutions for robotic manipulation. Showcase the applications of wearable devices in robotic learning. Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans’ intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics.