Advanced Topics on Computer Vision, Control and Robotics in Mechatronics by
The field of mechatronics (which is the synergistic combination of precision mechanical engineering, electronic control and systems thinking in the design of products and manufacturing processes) is gaining much attention in industries and academics. This book includes several chapters which report successful study cases about computer vision, control and robotics.
Creating Precision Robots: A project-based approach to the study of mechatronics and robotics by
Shows how to use a new "Cardboard Engineering" technique for the handmade construction of three precision microcomputer controlled robots that hit, throw and shoot. Mathematical concepts and physical principles are not only rigorously described, but also go hand-in-hand with the design and constructional techniques of the working robot.
Mechatronics : electronic control systems in mechanical and electrical engineering, 7th ed. by
The integration of electronic engineering, mechanical engineering, control and computer engineering - Mechatronics - lies at the heart of the innumerable gadgets, processes and technology without which modern life would seem impossible. From auto-focus cameras to car engine management systems, and from state-of-the-art robots to the humble washing machine, Mechatronics has a hand in them all.
Mechatronic Systems and Process Automation: model-driven approach and practical design guidelines by
Covers design applications from various engineering disciplines (mechanical, chemical, electrical, computer, biomedical) through real-life mechatronics problems and industrial automation case studies with topics such as manufacturing, power grid, cement production, wind generator, oil refining, incubator, etc. Provides step-by-step procedures for the modeling, analysis, control and automation, networking, monitoring, and sensing of single electrical-driven machines to large-scale industrial process operations.
Mobile Robotics by
Presents the different tools and methods that enable the design of mobile robots; a discipline booming with the emergence of flying drones, underwater robots mine detectors, sailboats robots;and robot vacuum cleaners. Illustrated with simulations, exercises and examples, this book describes the fundamentals of modeling robots, developing the actuator concepts, sensor, control and guidance.
Practical Robotics and Mechatronics by
Introduction to basic theory and procedures for the design and development of practical robotics and mechatronics. Describes how to successfully create practical robotics and mechatronics, and discusses integration with the Internet of Things and machine-to-machine interfaces.
Robotics, 2nd ed. by
Introduces readers to robotics, industrial robot mechanisms, and types of robots and includes new topics: parallel robots; collaborative robots; teaching of robots; mobile robots; and humanoid robots. Adresses: general introduction; basic characteristics of industrial robot mechanisms; position and movement of an object; a geometric model of robot mechanisms; kinematics and dynamics of robots; robot sensors and planning of robot trajectories; fundamentals of robot vision; basic control schemes resulting in either desired end-effector trajectory or force; robot workcells with feeding devices and robot grippers.
Robotics, vision and control : fundamental algorithms in MATLAB, 2nd ed. by
Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. This book makes the fundamental algorithms of robotics, vision and control accessible to all, weaving together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together.
Control of Mechatronic Systems by
A practical methodology for designing integrated automation control for systems and processes Implementing digital control within mechanical-electronic (mechatronic) systems is essential to respond to the growing demand for high-efficiency machines and processes. In practice, the most efficient digital control often integrates time-driven and event-driven characteristics within a single control scheme. However, most of the current engineering literature on the design of digital control systems presents discrete-time systems and discrete-event systems separately. Control Of Mechatronic Systems: Model-Driven Design And Implementation Guidelines unites the two systems, revisiting the concept of automated control by presenting a unique practical methodology for whole-system integration. With its innovative hybrid approach to the modeling, analysis, and design of control systems, this text provides material for mechatronic engineering and process automation courses, as well as for self-study across engineering disciplines. Real-life design problems and automation case studies help readers transfer theory to practice, whether they are building single machines or large-scale industrial systems. Presents a novel approach to the integration of discrete-time and discrete-event systems within mechatronic systems and industrial processes Offers user-friendly self-study units, with worked examples and numerous real-world exercises in each chapter Covers a range of engineering disciplines and applies to small- and large-scale systems, for broad appeal in research and practice Provides a firm theoretical foundation allowing readers to comprehend the underlying technologies of mechatronic systems and processes Control Of Mechatronic Systems is an important text for advanced students and professionals of all levels engaged in a broad range of engineering disciplines.
