Advanced Robot Control
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Advanced Robot Control
Modern Robotics has a history of not more than 50 years. Robot science grew up in this period. The basic results of control of these devices were developed in the last 20 years. The authors of the present book summarize, in an original presentation, the most important results and add to those some new contributions. Among others, robot kinematics, trajectory planning, dynamics and control problems are discussed in detail. The new results include the original treatment of various kinematic and dynamic problems, time-optimal trajectory planning, model reference adaptive control, robot dynamic, model identification and self-tuning adaptive control, robotized manufacturing optimization and some others.
Robotics
Author: Bruno Siciliano
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-11-07
The classic text on robot manipulators now covers visual control, motion planning and mobile robots too! 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.
Theory of Robot Control
Author: Carlos Canudas de Wit
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
The advent of new high-speed microprocessor technology together with the need for high-performance robots created substantial and realistic place for control theory in the field of robotics. Since the beginning of the 80's, robotics and control theory have greatly benefited from a mutual fertiliza tion. On one hand, robot models (inherently highly nonlinear) have been used as good case studies for exemplifying general concepts of analysis and design of advanced control theory; on the other hand, robot manipulator by using new control algorithms. Fur performance has been improved thermore, many interesting robotics problems, e. g. , in mobile robots, have brought new control theory research lines and given rise to the development of new controllers (time-varying and nonlinear). Robots in control are more than a simple case study. They represent a natural source of inspiration and a great pedagogical tool for research and teaching in control theory. Several advanced control algorithms have been developed for different types of robots (rigid, flexible and mobile), based either on existing control techniques, e. g. , feedback linearization and adaptive control, or on new control techniques that have been developed on purpose. Most of those results, although widely spread, are nowadays rather dispersed in different journals and conference proceedings. The purpose of this book is to collect some of the most fundamental and current results on theory of robot control in a unified framework, by editing, improving and completing previous works in the area.