Repetitive Motion Planning and Control of Redundant Robot Manipulators

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Publisher : Springer Science & Business Media
ISBN 13 : 3642375189
Total Pages : 201 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Repetitive Motion Planning and Control of Redundant Robot Manipulators by : Yunong Zhang

Download or read book Repetitive Motion Planning and Control of Redundant Robot Manipulators written by Yunong Zhang and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Robot Manipulator Redundancy Resolution

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Publisher : John Wiley & Sons
ISBN 13 : 1119381436
Total Pages : 320 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Robot Manipulator Redundancy Resolution by : Yunong Zhang

Download or read book Robot Manipulator Redundancy Resolution written by Yunong Zhang and published by John Wiley & Sons. This book was released on 2017-09-06 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces a revolutionary, quadratic-programming based approach to solving long-standing problems in motion planning and control of redundant manipulators This book describes a novel quadratic programming approach to solving redundancy resolutions problems with redundant manipulators. Known as ``QP-unified motion planning and control of redundant manipulators'' theory, it systematically solves difficult optimization problems of inequality-constrained motion planning and control of redundant manipulators that have plagued robotics engineers and systems designers for more than a quarter century. An example of redundancy resolution could involve a robotic limb with six joints, or degrees of freedom (DOFs), with which to position an object. As only five numbers are required to specify the position and orientation of the object, the robot can move with one remaining DOF through practically infinite poses while performing a specified task. In this case redundancy resolution refers to the process of choosing an optimal pose from among that infinite set. A critical issue in robotic systems control, the redundancy resolution problem has been widely studied for decades, and numerous solutions have been proposed. This book investigates various approaches to motion planning and control of redundant robot manipulators and describes the most successful strategy thus far developed for resolving redundancy resolution problems. Provides a fully connected, systematic, methodological, consecutive, and easy approach to solving redundancy resolution problems Describes a new approach to the time-varying Jacobian matrix pseudoinversion, applied to the redundant-manipulator kinematic control Introduces The QP-based unification of robots' redundancy resolution Illustrates the effectiveness of the methods presented using a large number of computer simulation results based on PUMA560, PA10, and planar robot manipulators Provides technical details for all schemes and solvers presented, for readers to adopt and customize them for specific industrial applications Robot Manipulator Redundancy Resolution is must-reading for advanced undergraduates and graduate students of robotics, mechatronics, mechanical engineering, tracking control, neural dynamics/neural networks, numerical algorithms, computation and optimization, simulation and modelling, analog, and digital circuits. It is also a valuable working resource for practicing robotics engineers and systems designers and industrial researchers.

Control of Redundant Robot Manipulators

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540250715
Total Pages : 228 pages
Book Rating : 4.2/5 (57 download)

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Book Synopsis Control of Redundant Robot Manipulators by : Rajni V. Patel

Download or read book Control of Redundant Robot Manipulators written by Rajni V. Patel and published by Springer Science & Business Media. This book was released on 2005-05-04 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Design, Control and Motion Planning for a Novel Modular Extendable Robotic Manipulator

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Publisher :
ISBN 13 :
Total Pages : 104 pages
Book Rating : 4.:/5 (868 download)

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Book Synopsis Design, Control and Motion Planning for a Novel Modular Extendable Robotic Manipulator by : Hak Yi

Download or read book Design, Control and Motion Planning for a Novel Modular Extendable Robotic Manipulator written by Hak Yi and published by . This book was released on 2013 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation discusses an implementation of a design, control and motion planning for a novel extendable modular redundant robotic manipulator in space constraints, which robots may encounter for completing required tasks in small and constrained environment. The design intent is to facilitate the movement of the proposed robotic manipulator in constrained environments, such as rubble piles. The proposed robotic manipulator with multi Degree of Freedom (m-DOF) links is capable of elongating by 25% of its nominal length. In this context, a design optimization problem with multiple objectives is also considered. In order to identify the benefits of the proposed design strategy, the reachable workspace of the proposed manipulator is compared with that of the Jet Propulsion Laboratory (JPL) serpentine robot. The simulation results show that the proposed manipulator has a relatively efficient reachable workspace, needed in constrained environments. The singularity and manipulability of the designed manipulator are investigated. In this study, we investigate the number of links that produces the optimal design architecture of the proposed robotic manipulator. The total number of links decided by a design optimization can be useful distinction in practice. Also, we have considered a novel robust bio-inspired Sliding Mode Control (SMC) to achieve favorable tracking performance for a class of robotic manipulators with uncertainties. To eliminate the chattering problem of the conventional sliding mode control, we apply the Brain Emotional Learning Based Intelligent Control (BELBIC) to adaptively adjust the control input law in sliding mode control. The on-line computed parameters achieve favorable system robustness in process of parameter uncertainties and external disturbances. The simulation results demonstrate that our control strategy is effective in tracking high speed trajectories with less chattering, as compared to the conventional sliding mode control. The learning process of BLS is shown to enhance the performance of a new robust controller. Lastly, we consider the potential field methodology to generate a desired trajectory in small and constrained environments. Also, Obstacle Collision Avoidance (OCA) is applied to obtain an inverse kinematic solution of a redundant robotic manipulator. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/148298

Zhang Functions and Various Models

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Publisher : Springer
ISBN 13 : 3662473348
Total Pages : 242 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Zhang Functions and Various Models by : Yunong Zhang

Download or read book Zhang Functions and Various Models written by Yunong Zhang and published by Springer. This book was released on 2015-05-29 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on solving different types of time-varying problems. It presents various Zhang dynamics (ZD) models by defining various Zhang functions (ZFs) in real and complex domains. It then provides theoretical analyses of such ZD models and illustrates their results. It also uses simulations to substantiate their efficacy and show the feasibility of the presented ZD approach (i.e., different ZFs leading to different ZD models), which is further applied to the repetitive motion planning (RMP) of redundant robots, showing its application potential.

Neural & Bio-inspired Processing and Robot Control

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Publisher : Frontiers Media SA
ISBN 13 : 2889456978
Total Pages : 135 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Neural & Bio-inspired Processing and Robot Control by : Huanqing Wang

Download or read book Neural & Bio-inspired Processing and Robot Control written by Huanqing Wang and published by Frontiers Media SA. This book was released on 2019-01-24 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic presents bio-inspired and neurological insights for the development of intelligent robotic control algorithms. This aims to bridge the inter-disciplinary gaps between neuroscience and robotics to accelerate the pace of research and development.

Robot Manipulator Redundancy Resolution

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119381428
Total Pages : 321 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Robot Manipulator Redundancy Resolution by : Yunong Zhang

Download or read book Robot Manipulator Redundancy Resolution written by Yunong Zhang and published by John Wiley & Sons. This book was released on 2017-09-11 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces a revolutionary, quadratic-programming based approach to solving long-standing problems in motion planning and control of redundant manipulators This book describes a novel quadratic programming approach to solving redundancy resolutions problems with redundant manipulators. Known as ``QP-unified motion planning and control of redundant manipulators'' theory, it systematically solves difficult optimization problems of inequality-constrained motion planning and control of redundant manipulators that have plagued robotics engineers and systems designers for more than a quarter century. An example of redundancy resolution could involve a robotic limb with six joints, or degrees of freedom (DOFs), with which to position an object. As only five numbers are required to specify the position and orientation of the object, the robot can move with one remaining DOF through practically infinite poses while performing a specified task. In this case redundancy resolution refers to the process of choosing an optimal pose from among that infinite set. A critical issue in robotic systems control, the redundancy resolution problem has been widely studied for decades, and numerous solutions have been proposed. This book investigates various approaches to motion planning and control of redundant robot manipulators and describes the most successful strategy thus far developed for resolving redundancy resolution problems. Provides a fully connected, systematic, methodological, consecutive, and easy approach to solving redundancy resolution problems Describes a new approach to the time-varying Jacobian matrix pseudoinversion, applied to the redundant-manipulator kinematic control Introduces The QP-based unification of robots' redundancy resolution Illustrates the effectiveness of the methods presented using a large number of computer simulation results based on PUMA560, PA10, and planar robot manipulators Provides technical details for all schemes and solvers presented, for readers to adopt and customize them for specific industrial applications Robot Manipulator Redundancy Resolution is must-reading for advanced undergraduates and graduate students of robotics, mechatronics, mechanical engineering, tracking control, neural dynamics/neural networks, numerical algorithms, computation and optimization, simulation and modelling, analog, and digital circuits. It is also a valuable working resource for practicing robotics engineers and systems designers and industrial researchers.

Kinematic Control of Redundant Robot Arms Using Neural Networks

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Publisher : John Wiley & Sons
ISBN 13 : 1119556996
Total Pages : 278 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Kinematic Control of Redundant Robot Arms Using Neural Networks by : Shuai Li

Download or read book Kinematic Control of Redundant Robot Arms Using Neural Networks written by Shuai Li and published by John Wiley & Sons. This book was released on 2019-02-12 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning Methods for High-Level Cognitive Capabilities in Robotics

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 288963261X
Total Pages : 149 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Machine Learning Methods for High-Level Cognitive Capabilities in Robotics by : Emre Ugur

Download or read book Machine Learning Methods for High-Level Cognitive Capabilities in Robotics written by Emre Ugur and published by Frontiers Media SA. This book was released on 2019-12-24 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Trajectory Planning for Hyper-Redundant Manipulators in Constrained Workspaces

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Trajectory Planning for Hyper-Redundant Manipulators in Constrained Workspaces by : Mahdi Fallahinejad Ghajari

Download or read book Trajectory Planning for Hyper-Redundant Manipulators in Constrained Workspaces written by Mahdi Fallahinejad Ghajari and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Robotics and Applications

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Publisher : Springer Nature
ISBN 13 : 3030890929
Total Pages : 780 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent Robotics and Applications by : Xin-Jun Liu

Download or read book Intelligent Robotics and Applications written by Xin-Jun Liu and published by Springer Nature. This book was released on 2021-10-19 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volume set LNAI 13013 – 13016 constitutes the proceedings of the 14th International Conference on Intelligent Robotics and Applications, ICIRA 2021, which took place in Yantai, China, during October 22-25, 2021. The 299 papers included in these proceedings were carefully reviewed and selected from 386 submissions. They were organized in topical sections as follows: Robotics dexterous manipulation; sensors, actuators, and controllers for soft and hybrid robots; cable-driven parallel robot; human-centered wearable robotics; hybrid system modeling and human-machine interface; robot manipulation skills learning; micro_nano materials, devices, and systems for biomedical applications; actuating, sensing, control, and instrumentation for ultra-precision engineering; human-robot collaboration; robotic machining; medical robot; machine intelligence for human motion analytics; human-robot interaction for service robots; novel mechanisms, robots and applications; space robot and on-orbit service; neural learning enhanced motion planning and control for human robot interaction; medical engineering.

Advances in Neural Networks – ISNN 2014

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Publisher : Springer
ISBN 13 : 3319124366
Total Pages : 661 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advances in Neural Networks – ISNN 2014 by : Zhigang Zeng

Download or read book Advances in Neural Networks – ISNN 2014 written by Zhigang Zeng and published by Springer. This book was released on 2014-11-28 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows. The focus is on following topics such as analysis, modeling, and applications.

Optimal and Efficient Motion Planning of Redundant Robot Manipulators

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Publisher :
ISBN 13 : 9783659471568
Total Pages : 0 pages
Book Rating : 4.4/5 (715 download)

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Book Synopsis Optimal and Efficient Motion Planning of Redundant Robot Manipulators by : Binghuang Cai

Download or read book Optimal and Efficient Motion Planning of Redundant Robot Manipulators written by Binghuang Cai and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

AI based Robot Safe Learning and Control

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Publisher : Springer Nature
ISBN 13 : 9811555036
Total Pages : 138 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis AI based Robot Safe Learning and Control by : Xuefeng Zhou

Download or read book AI based Robot Safe Learning and Control written by Xuefeng Zhou and published by Springer Nature. This book was released on 2020-06-02 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors’ papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc. This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.

Advances in Robots Trajectories Learning via Fast Neural Networks

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Publisher : Frontiers Media SA
ISBN 13 : 2889667685
Total Pages : 149 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Advances in Robots Trajectories Learning via Fast Neural Networks by : Jose De Jesus Rubio

Download or read book Advances in Robots Trajectories Learning via Fast Neural Networks written by Jose De Jesus Rubio and published by Frontiers Media SA. This book was released on 2021-05-14 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Zhang Time Discretization (ZTD) Formulas and Applications

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Publisher : CRC Press
ISBN 13 : 104009161X
Total Pages : 356 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Zhang Time Discretization (ZTD) Formulas and Applications by : Yunong Zhang

Download or read book Zhang Time Discretization (ZTD) Formulas and Applications written by Yunong Zhang and published by CRC Press. This book was released on 2024-08-07 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas. The authors summarize and present the systematic derivations and complete research of ZTD formulas from special 3S-ZTD formulas to general NS-ZTD formulas. These finally lead to their proposed discrete-time Zhang neural network (DTZNN) algorithms, which are more efficient, accurate, and elegant. This book will open the door to scientific and engineering applications of ZTD formulas and neural networks, and will be a major inspiration for studies in neural network modeling, numerical algorithm design, prediction, and robot manipulator control. The book will benefit engineers, senior undergraduates, graduate students, and researchers in the fields of neural networks, computer mathematics, computer science, artificial intelligence, numerical algorithms, optimization, robotics, and simulation modeling.

Algorithmic Foundations of Robotics XI

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Publisher : Springer
ISBN 13 : 331916595X
Total Pages : 750 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Algorithmic Foundations of Robotics XI by : H. Levent Akin

Download or read book Algorithmic Foundations of Robotics XI written by H. Levent Akin and published by Springer. This book was released on 2015-04-30 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully edited volume is the outcome of the eleventh edition of the Workshop on Algorithmic Foundations of Robotics (WAFR), which is the premier venue showcasing cutting edge research in algorithmic robotics. The eleventh WAFR, which was held August 3-5, 2014 at Boğaziçi University in Istanbul, Turkey continued this tradition. This volume contains extended versions of the 42 papers presented at WAFR. These contributions highlight the cutting edge research in classical robotics problems (e.g. manipulation, motion, path, multi-robot and kinodynamic planning), geometric and topological computation in robotics as well novel applications such as informative path planning, active sensing and surgical planning. This book - rich by topics and authoritative contributors - is a unique reference on the current developments and new directions in the field of algorithmic foundations.