Dynamic Trajectory Planning And Self Tuning Adaptive Control Design For Industrial Robots
Download Dynamic Trajectory Planning And Self Tuning Adaptive Control Design For Industrial Robots full books in PDF, epub, and Kindle. Read online free Dynamic Trajectory Planning And Self Tuning Adaptive Control Design For Industrial Robots ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Non-Adaptive and Adaptive Control of Manipulation Robots
Author | : M. Vukobratovic |
Publisher | : Springer Science & Business Media |
Total Pages | : 394 |
Release | : 2013-12-11 |
Genre | : Computers |
ISBN | : 3642822010 |
The material presented in this monograph is a logical continuation of research results achieved in the control of manipulation robots. This is in a way, a synthesis of many-year research efforts of the associates of Robotics Department, Mihailo Pupin Institute, in the field of dynamic control.of robotic systems. As in Vol. 2 of this Series, all results rely on the mathematical models of dynamics of active spatial mechanisms which offer the possibility for adequate dynamic control of manipula tion robots. Compared with Vol. 2, this monograph has three essential new character istics, and a variety of new tasks arising in the control of robots which have been formulated and solved for the first time. One of these novelties is nonadaptive control synthesized for the case of large variations in payload parameters, under the condition that the practical stability of the overall system is satisfied. Such a case of control synthesis meets the actual today's needs in industrial robot applications. The second characteristic of the monograph is the efficient adaptive control algorithm based on decentralized control structure intended for tasks in which parameter variations cannot be specified in advance. To be objective, this is not the case in industrial robotics today. Thus, nonadaptive control with and without a particular parameter variation is supplemented by adaptive dynamic control algorithms which will cer tainly be applicable in the future industrial practice when parametric identification of workpieces will be required.
Adaptive Control of Mechanical Manipulators
Author | : John J. Craig |
Publisher | : Addison Wesley Publishing Company |
Total Pages | : 152 |
Release | : 1988 |
Genre | : Technology & Engineering |
ISBN | : |
Robot Control
Author | : Mark W. Spong |
Publisher | : Institute of Electrical & Electronics Engineers(IEEE) |
Total Pages | : 560 |
Release | : 1993 |
Genre | : Computers |
ISBN | : |
Adaptive Control for Robotic Manipulators
Author | : Dan Zhang |
Publisher | : CRC Press |
Total Pages | : 441 |
Release | : 2017-02-03 |
Genre | : Science |
ISBN | : 1498764886 |
The robotic mechanism and its controller make a complete system. As the robotic mechanism is reconfigured, the control system has to be adapted accordingly. The need for the reconfiguration usually arises from the changing functional requirements. This book will focus on the adaptive control of robotic manipulators to address the changed conditions. The aim of the book is to summarise and introduce the state-of-the-art technologies in the field of adaptive control of robotic manipulators in order to improve the methodologies on the adaptive control of robotic manipulators. Advances made in the past decades are described in the book, including adaptive control theories and design, and application of adaptive control to robotic manipulators.
Learning for Adaptive and Reactive Robot 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.