This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning.
This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning.
![Wearable Technology for Robotic Manipulation and Learning](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Wearable Technology for Robotic Manipulation and Learning
208![Wearable Technology for Robotic Manipulation and Learning](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Wearable Technology for Robotic Manipulation and Learning
208Paperback(1st ed. 2020)
Product Details
ISBN-13: | 9789811551260 |
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Publisher: | Springer Nature Singapore |
Publication date: | 10/07/2020 |
Edition description: | 1st ed. 2020 |
Pages: | 208 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |