On The Control Of Redundant Robot Arms
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Kinematic Control Of Redundant Robot Arms Using Neural Networks
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Author : Shuai Li
language : en
Publisher: John Wiley & Sons
Release Date : 2019-02-11
Kinematic Control Of Redundant Robot Arms Using Neural Networks written by Shuai Li and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-11 with Technology & Engineering categories.
Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book presents and investigates different methods and schemes for the control of robotic arms whilst exploring the field from all angles. On a more specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical tools and simulations. Kinematic Control of Redundant Robot Arms Using Neural Networks is divided into three parts: Neural Networks for Serial Robot Arm Control; Neural Networks for Parallel Robot Control; and Neural Networks for Cooperative Control. The book starts by covering zeroing neural networks for control, and follows up with chapters on adaptive dynamic programming neural networks for control; projection neural networks for robot arm control; and neural learning and control co-design for robot arm control. Next, it looks at robust neural controller design for robot arm control and teaches readers how to use neural networks to avoid robot singularity. It then instructs on neural network based Stewart platform control and neural network based learning and control co-design for Stewart platform control. The book finishes with a section on zeroing neural networks for robot arm motion generation. Provides comprehensive understanding on robot arm control aided with neural networks Presents neural network-based control techniques for single robot arms, parallel robot arms (Stewart platforms), and cooperative robot arms Provides a comparison of, and the advantages of, using neural networks for control purposes rather than traditional control based methods Includes simulation and modelling tasks (e.g., MATLAB) for onward application for research and engineering development By focusing on robot arm control aided by neural networks whilst examining central topics surrounding the field, Kinematic Control of Redundant Robot Arms Using Neural Networks is an excellent book for graduate students and academic and industrial researchers studying neural dynamics, neural networks, analog and digital circuits, mechatronics, and mechanical engineering.
On The Control Of Redundant Robot Arms
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Author : Ahmad Hemami
language : en
Publisher:
Release Date : 1988
On The Control Of Redundant Robot Arms written by Ahmad Hemami and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Robotics categories.
Control Of Redundant Robot Manipulators
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Author : Rajni V. Patel
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-05-04
Control Of Redundant Robot Manipulators written by Rajni V. Patel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-04 with Technology & Engineering categories.
This monograph provides a comprehensive and thorough treatment of the problem of controlling a redundant robot manipulator. It presents the latest research from the field with a good balance between theory and practice. All theoretical developments are verified both via simulation and experimental work on an actual prototype redundant robot manipulator. This book is the first text aimed at graduate students and researchers working in the area of redundant manipulators giving a comprehensive coverage of control of redundant robot manipulators from the viewpoint of theory and experimentation.
Repetitive Motion Planning And Control Of Redundant Robot Manipulators
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Author : Yunong Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-07-08
Repetitive Motion Planning And Control Of Redundant Robot Manipulators written by Yunong Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Technology & Engineering categories.
Repetitive Motion Planning and Control of Redundant Robot Manipulators presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs (QPs), which are solved by neural networks or numerical algorithms. The RMP schemes are demonstrated effectively by the simulation results based on various robotic models; the experiments applying the fundamental RMP scheme to a physical robot manipulator are also presented. As the schemes and the corresponding solvers presented in the book have solved the non-repetitive motion problems existing in redundant robot manipulators, it is of particular use in applying theoretical research based on the quadratic program for redundant robot manipulators in industrial situations. This book will be a valuable reference work for engineers, researchers, advanced undergraduate and graduate students in robotics fields. Yunong Zhang is a professor at The School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China; Zhijun Zhang is a research fellow working at the same institute.
Redundancy In Robot Manipulators And Multi Robot Systems
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Author : Dejan Milutinović
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-12
Redundancy In Robot Manipulators And Multi Robot Systems written by Dejan Milutinović and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-12 with Technology & Engineering categories.
The trend in the evolution of robotic systems is that the number of degrees of freedom increases. This is visible both in robot manipulator design and in the shift of focus from single to multi-robot systems. Following the principles of evolution in nature, one may infer that adding degrees of freedom to robot systems design is beneficial. However, since nature did not select snake-like bodies for all creatures, it is reasonable to expect the presence of a certain selection pressure on the number of degrees of freedom. Thus, understanding costs and benefits of multiple degrees of freedom, especially those that create redundancy, is a fundamental problem in the field of robotics. This volume is mostly based on the works presented at the workshop on Redundancy in Robot Manipulators and Multi-Robot Systems at the IEEE/RSJ International Conference on Intelligent Robots and Systems - IROS 2011. The workshop was envisioned as a dialog between researchers from two separate, but obviously related fields of robotics: one that deals with systems having multiple degrees of freedom, including redundant robot manipulators, and the other that deals with multirobot systems. The volume consists of twelve chapters, each representing one of the two fields.
Redundant Robot Arm Motion Control A Neural Net Approach
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Author : Suhjin Horng
language : en
Publisher:
Release Date : 1990
Redundant Robot Arm Motion Control A Neural Net Approach written by Suhjin Horng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Neural networks (Computer science) categories.
Whole Arm Grasping Control For Redundant Robot Manipulators
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Author :
language : en
Publisher:
Release Date : 2005
Whole Arm Grasping Control For Redundant Robot Manipulators written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
An approach to whole arm grasping of objects using redundant robot manipulators is presented. A kinematic control development is presented which facilitates the encoding of both the end-effector position, as well as body self-motion positioning information as a desired trajectory signal for the manipulator joints. A joint space controller which provides asymptotic tracking of the encoded desired trajectory in the presence of system uncertainties is then presented. Experimental results for a planar, three link configuration of the Barrett whole arm manipulator are provided to illustrate the validity of the approach.
Self Motion Control Of Kinematically Redundant Robot Manipulators
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Author : Omar Waleed Najm Maaroof
language : en
Publisher:
Release Date : 2012
Self Motion Control Of Kinematically Redundant Robot Manipulators written by Omar Waleed Najm Maaroof and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Manipulators (Mechanism) categories.
Redundancy in general provides space for optimization in robotics. Redundancy can be defined as sensor/actuator redundancy or kinematic redundancy. The redundancy considered in this thesis is the kinematic redundancy where the total degrees-of-freedom of the robot is more than the total degrees-of-freedom required for the task to be executed. This provides infinite number of solutions to perform the same task, thus, various subtasks can be carried out during the main-task execution. This work utilizes the property of self-motion for kinematically redundant robot manipulators by designing the general subtask controller that controls the joint motion in the null-space of the Jacobian matrix. The general subtask controller is implemented for various subtasks in this thesis. Minimizing the total joint motion, singularity avoidance, posture optimization for static impact force objectives, which include maximizing/minimizing the static impact force magnitude, and static and moving obstacle (point to point) collision avoidance are the subtasks considered in this thesis. New control architecture is developed to accomplish both the main-task and the previously mentioned subtasks. In this architecture, objective function for each subtask is formed. Then, the gradient of the objective function is used in the subtask controller to execute subtask objective while tracking a given end-effector trajectory. The tracking of the end-effector is called main-task. The SCHUNK LWA4-Arm robot arm with seven degrees-of-freedom is developed first in SolidWorks® as a computer-aided-design (CAD) model. Then, the CAD model is converted to MATLAB® Simulink model using SimMechanics CAD translator to be used in the simulation tests of the controller. Kinematics and dynamics equations of the robot are derived to be used in the controllers. Simulation test results are presented for the kinematically redundant robot manipulator operating in 3D space carrying out the main-task and the selected subtasks for this study. The simulation test results indicate that the developed controller's performance is successful for all the main-task and subtask objectives.
Biologically Inspired Control Of Humanoid Robot Arms
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Author : Adam Spiers
language : en
Publisher: Springer
Release Date : 2016-05-19
Biologically Inspired Control Of Humanoid Robot Arms written by Adam Spiers and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-19 with Technology & Engineering categories.
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.
Control Of Redundant Submarine Robot Arms Under Holonomic Constraints
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Author : E. Olguín-Díaz
language : en
Publisher:
Release Date : 2008
Control Of Redundant Submarine Robot Arms Under Holonomic Constraints written by E. Olguín-Díaz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Technology categories.
Control of Redundant Submarine Robot Arms under Holonomic Constraints.