Download the fantastic book titled Wearable Technology for Robotic Manipulation and Learning written by Bin Fang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Wearable Technology for Robotic Manipulation and Learning", which was released on 06 October 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Wearable Technology for Robotic Manipulation and Learning by Bin Fang PDF
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. 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.
Detail About Wearable Technology for Robotic Manipulation and Learning PDF
- Author : Bin Fang
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 219 pages
- ISBN : 9811551243
- Release Date : 06 October 2020
- PDF File Size : 31,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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