Fundamentals of Robotics: Practical Case Studies with Matlab & PythonКНИГИ » АППАРАТУРА
Название: Fundamentals of Robotics: Practical Case Studies with Matlab & Python Автор: Hamid D. Taghirad Издательство: CRC Press Год: 2025 Страниц: 555 Язык: английский Формат: pdf (true), epub Размер: 30.0 MB
In an era where robotics is reshaping industries and redefining possibilities, "Fundamentals of Robotics: Applied Case Studies with MATLAB & Python" emerges as an essential guide for both aspiring engineers and seasoned professionals. This comprehensive book bridges the gap between theoretical knowledge and practical application, driving advancements in robotics technology that mimic the complexity and grace of biological creatures.
Explore the intricate world of serial robots, from their kinematic and dynamic foundations to advanced control systems. Discover how the precise movements of a magician's fingers or the poised posture of a king cobra inspire the mathematical principles that govern robotic motion. The book delves into the Denavit-Hartenberg method, screw theory, and the Jacobian matrix, providing a thorough understanding of robot design and analysis.
This book stands out with two distinctive features: the comprehensive examination of multiple case studies and the practical use of engineering software such as MATLAB and the Python programming language to work out these case studies. The first feature involves the thorough implementation of theoretical concepts discussed in the book on various industrial robots across its chapters. The case studies focus on the analysis and design of robots, including the planar 2R and 3R robots, 4-DOF SCARA robot, 6-DOF Stanford robot, 3-DOF and 6-DOF Elbow manipulators, and the Fanuc S-900w industrial robot. At the conclusion of each chapter, readers are encouraged to apply the theoretical concepts to four different planar robots, five spatial robots with up to four degrees of freedom, two robots with six degrees of freedom, and two Kuka industrial robots with six and seven degrees of freedom. This practical approach enables readers to gain proficiency in the design and analysis of serial robots by actively working on these problems.
The second distinguishing feature revolves around the utilization of MATLAB and Python programming for the analysis of the presented case studies. The book goes beyond theory by offering complete solutions and programming codes for the featured case studies in these software platforms. This approach empowers readers to acquire practical expertise in the analysis and design methods for serial robots. The inclusion of ready-to-use codes facilitates the seamless implementation of the discussed methods on the robots introduced in each chapter’s problem section, enhancing accessibility for readers and promoting hands-on learning. The codes, and their updates could be accessed in the Author’s Github.
Key Features:
Includes a diverse range of examples and exercises with accompanying MATLAB and Python codes. Contains over 30 case studies which allows the readers to gain a thorough understanding. Aids instruction in classrooms with inclusion of teaching slides and handouts. Combines diverse topics like kinematics, dynamics, and control within a single book.
Ideal for senior undergraduate and graduate students, as well as industry professionals, this book covers a wide range of topics, including linear and nonlinear control methods, trajectory planning, and force control. The dynamic models and control strategies discussed are crucial for anyone involved in the design, operation, or study of industrial robots.
"Fundamentals of Robotics: Applied Case Studies with MATLAB & Python" is more than a textbook; it is a vital resource that provides the knowledge and tools needed to succeed in the dynamic field of robotics. Join the journey towards mastering robotic technology and contribute to the future of intelligent machines.
Preface I Preliminary Studies 1 Introduction 2 Motion Description 3 Advanced Representations II Kinematics 4 Forward Kinematics 5 Inverse Kinematics 6 Jacobian Matrix 7 Singularity and Dexterity III Dynamics 8 Dynamic Analysis 9 Dynamics Properties and Representations 10 Simulation and Calibration IV Control 11 Linear Motion Control 12 Nonlinear Motion Control 13 Force Control 14 Impedance Control A Review on Linear Algebra B Review on Nonlinear Control Bibliography Index
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