On Robot Motion Control
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Author | : Kevin M. Lynch |
Publisher | : Cambridge University Press |
Total Pages | : 545 |
Release | : 2017-05-25 |
Genre | : Computers |
ISBN | : 1107156300 |
A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.
Author | : Krzysztof R. Kozlowski |
Publisher | : Springer |
Total Pages | : 401 |
Release | : 2006-07-26 |
Genre | : Technology & Engineering |
ISBN | : 1846284058 |
This book presents recent results in robot motion and control. Twenty papers presented at the Fourth International Workshop on Robot Motion and Control held in 2004 have been expanded. The authors of these papers were carefully selected and represent leading institutions in this field. The book covers nonlinear control of nonholonomic systems and legged robots as well as trajectory planning for these systems, topics not covered in previous books.
Author | : Michael Brady |
Publisher | : MIT Press |
Total Pages | : 618 |
Release | : 1982 |
Genre | : Computers |
ISBN | : 9780262021821 |
Dynamics; Feedback control; Trajectory planning; Compliance; Task planning.
Author | : Jean-Paul Laumond |
Publisher | : Springer |
Total Pages | : 366 |
Release | : 1998 |
Genre | : Technology & Engineering |
ISBN | : |
Content Description #Includes bibliographical references.
Author | : Jean-Claude Latombe |
Publisher | : Springer Science & Business Media |
Total Pages | : 668 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1461540224 |
One of the ultimate goals in Robotics is to create autonomous robots. Such robots will accept high-level descriptions of tasks and will execute them without further human intervention. The input descriptions will specify what the user wants done rather than how to do it. The robots will be any kind of versatile mechanical device equipped with actuators and sensors under the control of a computing system. Making progress toward autonomous robots is of major practical inter est in a wide variety of application domains including manufacturing, construction, waste management, space exploration, undersea work, as sistance for the disabled, and medical surgery. It is also of great technical interest, especially for Computer Science, because it raises challenging and rich computational issues from which new concepts of broad useful ness are likely to emerge. Developing the technologies necessary for autonomous robots is a formidable undertaking with deep interweaved ramifications in auto mated reasoning, perception and control. It raises many important prob lems. One of them - motion planning - is the central theme of this book. It can be loosely stated as follows: How can a robot decide what motions to perform in order to achieve goal arrangements of physical objects? This capability is eminently necessary since, by definition, a robot accomplishes tasks by moving in the real world. The minimum one would expect from an autonomous robot is the ability to plan its x Preface own motions.
Author | : Krzysztof R. Kozlowski |
Publisher | : Springer |
Total Pages | : 490 |
Release | : 2009-12-15 |
Genre | : Technology & Engineering |
ISBN | : 184882985X |
Robot Motion Control 2009 presents very recent results in robot motion and control. Forty short papers have been chosen from those presented at the sixth International Workshop on Robot Motion and Control held in Poland in June 2009. The authors of these papers have been carefully selected and represent leading institutions in this field. The following recent developments are discussed: design of trajectory planning schemes for holonomic and nonholonomic systems with optimization of energy, torque limitations and other factors, new control algorithms for industrial robots, nonholonomic systems and legged robots, different applications of robotic systems in industry and everyday life, like medicine, education, entertainment and others, multiagent systems consisting of mobile and flying robots with their applications. The book is suitable for graduate students of automation and robotics, informatics and management, mechatronics, electronics and production engineering systems as well as scientists and researchers working in these fields.
Author | : Bruno Siciliano |
Publisher | : Springer Science & Business Media |
Total Pages | : 644 |
Release | : 2010-08-20 |
Genre | : Technology & Engineering |
ISBN | : 1846286417 |
Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded to include coverage of mobile robots, visual control and motion planning. A variety of problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained. The text includes coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors. To impart practical skill, examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, end-of-chapter exercises are proposed, and the book is accompanied by an electronic solutions manual containing the MATLAB® code for computer problems; this is available free of charge to those adopting this volume as a textbook for courses.
Author | : Bruno Siciliano |
Publisher | : Springer Science & Business Media |
Total Pages | : 154 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1461544319 |
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.
Author | : Aude Billard |
Publisher | : MIT Press |
Total Pages | : 425 |
Release | : 2022-02-08 |
Genre | : Technology & Engineering |
ISBN | : 0262367017 |
Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.
Author | : Yunong Zhang |
Publisher | : Springer Science & Business Media |
Total Pages | : 201 |
Release | : 2014-07-08 |
Genre | : Technology & Engineering |
ISBN | : 3642375189 |
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.