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Addresses challenging aspects of robotics research, including the dynamics of robots with elastic parts and optimal control of manipulators. Basics in kinematics, dynamics, drives, and control and sensor systems are discussed. To more efficiently evaluate the elastic compliance of robots and their dynamic accuracy, the authors propose new computer techniques and provide much experimental data. Optimal control methods presented in the book allow robotics engineers to increase the speed and productivity of robotic operations and reduce energy consumption. New developments in robotics covered include pneumatic sensors, adaptive grippers, special robotic systems for measurement and inspection, and wall-climbing robots with technological manipulators. The book will be an important reference for mechanical engineers, electrical engineers, robotics engineers, and researchers in automatic control.
Since the manipulation tasks for robotic systems become more and more complicated, multi-robot cooperation has been attracting much attention recently. Furthermore, under the trend of human-robot co-existence, collision-free motion control is now also desired on multi-robot groups. This dissertation aims to design a novel distributed optimal control framework to deal with multi-robot cooperative manipulation of rigid objects in dynamic environments. Besides object transportation, the control scheme also tackles obstacle avoidance, joint-space performance optimisation and internal force suppression. The proposed control framework has a two-layer structure, with a distributed optimisation algorithm in the kinematic layer for generating proper joint configuration references, followed by a robot motion controller in the dynamic control layer to fulfil the reference. An indirect and a direct distributed optimisation method are developed for the kinematic layer, both of which are computationally and communicationally efficient. In the dynamic control layer, impedance control is employed for safe physical interaction. As another highlight, abundant experiments carried out on a multi-arm test bench have demonstrated the effectiveness of the presented control schemes under various environmental and task settings. The recorded computation time shows the applicability of the control framework in practice.
This is the fourth book from the Series "Scientific Fundamentals of Ro botics". The first two volumes have established abackqround for studying the dynamics and control of robots. While the first book was exclusive ly devoted to the dynamics of active spatial mechanisms, the second treated the problems of the dynamic control of manipulation robots. In contrast to the first two books, where recursive computer-aided me thods for setting robot dynamic equations where described, this mono graph presents a new approach to the formation of robot dynamics. The goal is to achieve the real-time model computation using up-to-date mi crocomputers. The presented concept could be called a numeric-symbolic, or analytic, approach to robot modelling. It will be shown that the generation of analytical robot model may give new excellent possibili ties concerning real-time applications. It is of essential importance in synthesizing the algorithms for nonadaptive and adaptive control of manipulation robots. If should be pointed out that the high computational efficiency has been achieved by off-line computer-aided preparation of robot equations. The parameters of a specified robot must be given in advance. This, af ter each significant variation in robot structure (geometrical and dy namical parameters) ,we must repeat the off-line stage. Thus is why the numerical procedures will always have their place in studying the dy namic properties of robotic systems. This monograph is organized in 5 chapters.
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.
Resources should be used sparingly both from a point of view of economy and eco logy. Thus in controlling industrial, economical and social processes, optimization is the tool of choice. In this area of applied numerical analysis, the INTERNATIONAL FEDERATION OF AUTOMATIC CONTROL (IFAC) acts as a link between research groups in universities, national research laboratories and industry. For this pur pose, the technical committee Mathematics of Control of IFAC organizes biennial conferences with the objective of bringing together experts to exchange ideas, ex periences and future developments in control applications of optimization. There should be a genuine feedback loop between mathematicians, computer scientists, engineers and software developers. This loop should include the design, application and implementation of algorithms. The contributions of industrial practitioners are especially important. These proceedings contain selected papers from a workshop on CONTROL Ap PLICATIONS OF OPTIMIZATION, which took place at the Fachhochschule Miinchen in September 1992. The workshop was the ninth in a series of very successful bien nial meetings, starting with the Joint Automatic Control Conference in Denver in 1978 and followed by conferences in London, Oberpfaffenhofen, San Francisco, Ca pri, Tbilisi and Paris. The workshop was attended by ninety researchers from four continents. This volume represents the state of the art in the field, with emphasis on progress made since the publication of the proceedings of the Capri meeting, edited by G. di Pillo under the title 'Control Applications of Optimization and Nonlinear Programming'.
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.
A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.
This monograph represents the first book of the series entitled "SCI ENTIFIC FUNDAMENTALS OF ROBOTICS". The aim of this monograph is to ap proach the dynamics of active mechanisms from the standpoint of its application to the synthesis of complex motion and computer-aided de sign of manipulation mechanisms with some optimal performances. The rapid development of a new class of mechanisms, which may be referred to as active mechanisms, contributed to their application in various environments (from underwater to cosmic) . Because of some specific fea tures, these mechanisms require very careful description, both in a mechanical sense (kinematic and dynamic) and in the synthesis of algo rithms for precise tracking of the above motion under insufficiently defined operating conditions. Having also in mind the need for a very fast (even real-time) calculation of system dynamics and for eliminating, in principle, the errors made when forming mathematical models "by hand" this monograph will primarily present methods for automatic for mUlation of dynamic equations of motion of active spatial mechanisms. Apart from these computer-oriented methods, mention will be made of all those methods which have preceded the computer-oriented procedures, predominantly developed for different problems of rigid body dynamics. If we wish to systematically establish the origins of the scientific discipline, which could be called robot dynamics, we must recall some groups and individuals, who, by solving actual problems in the synthe sis and control of artificial motion, have contributed to a gradual formation of this discipline.
The first book of the new, textbook series, entitled Applied Dynamics of Manipulation Robots: Modelling, Analysis and Examples, by M. Vukobratovic, published by Springer-Verlag (1989) was devoted to the problems of dynamic models and dynamic analysis of robots. The present book, the second in the series, is concerned with the problems of the robot control. In conceiving this textbook, several dillemas arouse. The main issue was the question on what should be incorporated in a textbook on such a complex subject. Namely, the robot control comprises a wide range of topics related to various aspects of robotics, starting from the syn thesis of the lowest, executive, control level, through the synthesis of trajectories (which is mainly related to kinematic models of robots) and various algorithms for solving the problem of task and robot moti on planning (including the solving of the problems by the methods of artificial intelligence) to the aspects of processing the data obtai ned from sensors. The robot control is closely related to the robot pro gramming (i. e. the development of highly-specialized programming lan guages for robot programming). Besides, numerous aspects of the con trol realization should be included here. It is obvious that all these aspects of control cannot be treated in detail in the frame of a text book.
A Mathematical Introduction to Robotic Manipulation presents a mathematical formulation of the kinematics, dynamics, and control of robot manipulators. It uses an elegant set of mathematical tools that emphasizes the geometry of robot motion and allows a large class of robotic manipulation problems to be analyzed within a unified framework. The foundation of the book is a derivation of robot kinematics using the product of the exponentials formula. The authors explore the kinematics of open-chain manipulators and multifingered robot hands, present an analysis of the dynamics and control of robot systems, discuss the specification and control of internal forces and internal motions, and address the implications of the nonholonomic nature of rolling contact are addressed, as well. The wealth of information, numerous examples, and exercises make A Mathematical Introduction to Robotic Manipulation valuable as both a reference for robotics researchers and a text for students in advanced robotics courses.