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Biologically Inspired Control of Humanoid Robot Arms - 9783319807355

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Biologically Inspired Control of Humanoid Robot Arms
ISBN
9783319807355
Subject Area
Mechanical Engineering
Publication Name
Biologically Inspired Control of Humanoid Robot Arms: Robust and Adaptive Approaches
Publisher
Springer International Publishing A&G
Subject
Engineering & Technology, Computer Science
Publication Year
2018
Type
Textbook
Format
Paperback
Language
English
Item Height
235mm
Author
Adam Spiers, Guido Herrmann, Said Ghani Khan
Item Width
155mm
Item Weight
615g
Number of Pages
276 Pages

About this product

Product Information

This book investigates a biologically inspired method of robot arm control, developed with the objective of synthesising human-like motion dynamically, using nonlinear, robust and adaptive control techniques in practical robot systems. The control method caters to a rising interest in humanoid robots and the need for appropriate control schemes to match these systems. Unlike the classic kinematic schemes used in industrial manipulators, the dynamic approaches proposed here promote human-like motion with better exploitation of the robot's physical structure. This also benefits human-robot interaction. The control schemes proposed in this book are inspired by a wealth of human-motion literature that indicates the drivers of motion to be dynamic, model-based and optimal. Such considerations lend themselves nicely to achievement via nonlinear control techniques without the necessity for extensive and complex biological models. The operational-space method of robot control forms the basis of many of the techniques investigated in this book. The method includes attractive features such as the decoupling of motion into task and posture components. Various developments are made in each of these elements. Simple cost functions inspired by biomechanical effort and discomfort generate realistic posture motion. Sliding-mode techniques overcome robustness shortcomings for practical implementation. Arm compliance is achieved via a method of model-free adaptive control that also deals with actuator saturation via anti-windup compensation. A neural-network-centered learning-by-observation scheme generates new task motions, based on motion-capture data recorded from human volunteers. In other parts of the book, motion capture is used to test theories of human movement. All developed controllers are applied to the reaching motion of a humanoid robot arm and are demonstrated to be practically realisable. This book is designed to be of interest to those wishing to achieve dynamics-based human-like robot-arm motion in academic research, advanced study or certain industrial environments. The book provides motivations, extensive reviews, research results and detailed explanations. It is not only suited to practising control engineers, but also applicable for general roboticists who wish to develop control systems expertise in this area.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-13
9783319807355
eBay Product ID (ePID)
7046693792

Product Key Features

Subject Area
Mechanical Engineering
Author
Adam Spiers, Guido Herrmann, Said Ghani Khan
Publication Name
Biologically Inspired Control of Humanoid Robot Arms: Robust and Adaptive Approaches
Format
Paperback
Language
English
Subject
Engineering & Technology, Computer Science
Publication Year
2018
Type
Textbook
Number of Pages
276 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Item Weight
615g

Additional Product Features

Title_Author
Guido Herrmann, Said Ghani Khan, Adam Spiers
Country/Region of Manufacture
Switzerland

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  • GB 976952259
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