Robots are widely implemented in modern heavy industries for the purpose of car assemblies, ship building, construction and aerospace. The technological advancement of these robots depend on research and development. This book covers many different controlling methods which is applied to the industrial robot manipulator. The most significant feature of the edition is the control of robot manipulator with unknown depth. The theoretical background for the study of the robot manipulator is expressed in the form of equations. Two different types of analysis for the robot had been conducted base on the gravity. In the context, various analysis of the adaptive control is used for the design of the robot controller. The controllers are implemented in real-time. The materials presented in the book is based on an experimental basis research. The experimental results are all illustrated in graphical form. The book provides an insight to readers the modern control techniques available, such as vision-based control of the robot. The book is useful for professionals, academics and engineers in the field of robotics and control engineering.

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.

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.