Model-Based Control of a Robot Manipulator

Model-Based Control of a Robot Manipulator
Title Model-Based Control of a Robot Manipulator PDF eBook
Author Chae H. An
Publisher MIT Press (MA)
Pages 233
Release 1988-03-01
Genre Computers
ISBN 9780262511575

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The first integrated treatment of many of the most important recent developments in using detailed dynamic models of robots to improve their control.

Robot Force Control

Robot Force Control
Title Robot Force Control PDF eBook
Author Bruno Siciliano
Publisher Springer Science & Business Media
Pages 154
Release 2012-12-06
Genre Technology & Engineering
ISBN 1461544319

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One of the fundamental requirements for the success of a robot task is the capability to handle interaction between manipulator and environment. The quantity that describes the state of interaction more effectively is the contact force at the manipulator's end effector. High values of contact force are generally undesirable since they may stress both the manipulator and the manipulated object; hence the need to seek for effective force control strategies. The book provides a theoretical and experimental treatment of robot interaction control. In the framework of model-based operational space control, stiffness control and impedance control are presented as the basic strategies for indirect force control; a key feature is the coverage of six-degree-of-freedom interaction tasks and manipulator kinematic redundancy. Then, direct force control strategies are presented which are obtained from motion control schemes suitably modified by the closure of an outer force regulation feedback loop. Finally, advanced force and position control strategies are presented which include passivity-based, adaptive and output feedback control schemes. Remarkably, all control schemes are experimentally tested on a setup consisting of a seven-joint industrial robot with open control architecture and force/torque sensor. The topic of robot force control is not treated in depth in robotics textbooks, in spite of its crucial importance for practical manipulation tasks. In the few books addressing this topic, the material is often limited to single-degree-of-freedom tasks. On the other hand, several results are available in the robotics literature but no dedicated monograph exists. The book is thus aimed at filling this gap by providing a theoretical and experimental treatment of robot force control.

Modelling and Control of Robot Manipulators

Modelling and Control of Robot Manipulators
Title Modelling and Control of Robot Manipulators PDF eBook
Author Lorenzo Sciavicco
Publisher Springer Science & Business Media
Pages 391
Release 2012-12-06
Genre Technology & Engineering
ISBN 1447104498

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Fundamental and technological topics are blended uniquely and developed clearly in nine chapters with a gradually increasing level of complexity. A wide variety of relevant problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained, step by step. Fundamental coverage includes: Kinematics; Statics and dynamics of manipulators; Trajectory planning and motion control in free space. Technological aspects include: Actuators; Sensors; Hardware/software control architectures; Industrial robot-control algorithms. Furthermore, established research results involving description of end-effector orientation, closed kinematic chains, kinematic redundancy and singularities, dynamic parameter identification, robust and adaptive control and force/motion control are provided. To provide readers with a homogeneous background, three appendices are included on: Linear algebra; Rigid-body mechanics; Feedback control. To acquire practical skill, more than 50 examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, more than 80 end-of-chapter exercises are proposed, and the book is accompanied by a solutions manual containing the MATLAB code for computer problems; this is available from the publisher free of charge to those adopting this work as a textbook for courses.

Modern Robotics

Modern Robotics
Title Modern Robotics PDF eBook
Author Kevin M. Lynch
Publisher Cambridge University Press
Pages 545
Release 2017-05-25
Genre Computers
ISBN 1107156300

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A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.

Adaptive Control of Mechanical Manipulators

Adaptive Control of Mechanical Manipulators
Title Adaptive Control of Mechanical Manipulators PDF eBook
Author John J. Craig
Publisher Addison Wesley Publishing Company
Pages 152
Release 1988
Genre Technology & Engineering
ISBN

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Flexible Robot Manipulators

Flexible Robot Manipulators
Title Flexible Robot Manipulators PDF eBook
Author M. Osman Tokhi
Publisher IET
Pages 579
Release 2008-05-20
Genre Technology & Engineering
ISBN 0863414486

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This book discusses the latest developmens in modelling, simulation and control of flexible robot manipulators. Coverage includes an overall review of previously developed methodologies, a range of modelling approaches including classical techniques, parametric and neuromodelling approaches and numerical modelling/simulation techniques.

Robot Manipulator Control

Robot Manipulator Control
Title Robot Manipulator Control PDF eBook
Author Frank L. Lewis
Publisher CRC Press
Pages 646
Release 2003-12-12
Genre Technology & Engineering
ISBN 9780203026953

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Robot Manipulator Control offers a complete survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinges upon a well-developed control system. Containing over 750 essential equations, this thoroughly up-to-date Second Edition, the book explicates theoretical and mathematical requisites for controls design and summarizes current techniques in computer simulation and implementation of controllers. It also addresses procedures and issues in computed-torque, robust, adaptive, neural network, and force control. New chapters relay practical information on commercial robot manipulators and devices and cutting-edge methods in neural network control.