Screen LibraryVision based identification and force control of industrial robots /
This book focuses on end-to-end robotic applications using vision and control algorithms, exposing its readers to design innovative solutions towards sensors-guided robotic bin-picking and assembly in an unstructured environment. The use of sensor fusion is demonstrated through a bin-picking task of...
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| Main Authors: | |
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| Published: |
Springer,
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| Publisher Address: | Singapore : |
| Publication Dates: | [2022] |
| Literature type: | Book |
| Language: | English |
| Series: |
Studies in systems, decision and control,
volume 404 |
| Subjects: | |
| Summary: |
This book focuses on end-to-end robotic applications using vision and control algorithms, exposing its readers to design innovative solutions towards sensors-guided robotic bin-picking and assembly in an unstructured environment. The use of sensor fusion is demonstrated through a bin-picking task of texture-less cylindrical objects. The system identification techniques are also discussed for obtaining precise kinematic and dynamic parameters of an industrial robot which facilitates the control schemes to perform pick-and-place tasks autonomously without any interference from the user. The uniqueness of this book lies in a judicious balance between theory and technology within the context of industrial application. Therefore, it will be valuable to researchers working in the area of vision- and force control- based robotics, as well as beginners in this inter-disciplinary area, as it deals with the basics and technologically advanced research strategies. |
| Carrier Form: | xxi, 196 pages : illustrations (some color) ; 25 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9789811669897 9811669899 |
| Index Number: | TS191 |
| CLC: |
TP242.6 TP242.2 |
| Call Number: | TP242.2/H413 |