Wearable Technology for Robotic Manipulation and Learning

✍ Scribed by Bin Fang, Fuchun Sun, Huaping Liu, Chunfang Liu, Di Guo

• Publisher: Springer Singapore;Springer
• Year: 2020
• Tongue: English
• Leaves: 219
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xxiv
Front Matter ....Pages 1-1
Introduction (Bin Fang, Fuchun Sun, Huaping Liu, Chunfang Liu, Di Guo)....Pages 3-30
Front Matter ....Pages 31-31
Wearable Sensors (Bin Fang, Fuchun Sun, Huaping Liu, Chunfang Liu, Di Guo)....Pages 33-63
Wearable Design and Computing (Bin Fang, Fuchun Sun, Huaping Liu, Chunfang Liu, Di Guo)....Pages 65-87
Applications of Developed Wearable Devices (Bin Fang, Fuchun Sun, Huaping Liu, Chunfang Liu, Di Guo)....Pages 89-123
Front Matter ....Pages 125-125
Learning from Wearable-Based Teleoperation Demonstration (Bin Fang, Fuchun Sun, Huaping Liu, Chunfang Liu, Di Guo)....Pages 127-144
Learning from Visual-Based Teleoperation Demonstration (Bin Fang, Fuchun Sun, Huaping Liu, Chunfang Liu, Di Guo)....Pages 145-172
Learning from Wearable-Based Indirect Demonstration (Bin Fang, Fuchun Sun, Huaping Liu, Chunfang Liu, Di Guo)....Pages 173-203
Front Matter ....Pages 205-205
Conclusions (Bin Fang, Fuchun Sun, Huaping Liu, Chunfang Liu, Di Guo)....Pages 207-208

✦ Subjects

Computer Science; User Interfaces and Human Computer Interaction; Robotics and Automation