In an era where robotics is reshaping industries and redefining possibilities, "Fundamentals of Robotics: Applied Case Studies with MATLAB (R) & 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.
Unique to this text is the integration of MATLAB (R) and Python, offering readers practical experience through step-by-step solutions and ready-to-use code. Each chapter is enriched with real-world case studies, including the 6-DOF Stanford robot and the Fanuc S-900w, allowing readers to apply theoretical concepts to tangible problems. The inclusion of biological examples enhances the relevance and accessibility of complex topics, illustrating the natural elegance of robotics.
Key Features:
Includes a diverse range of examples and exercises with accompanying MATLAB (R) 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 (R) & 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.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
General
Illustrationen
293 s/w Abbildungen, 293 s/w Zeichnungen, 15 s/w Tabellen
15 Tables, black and white; 293 Line drawings, black and white; 293 Illustrations, black and white
Maße
Höhe: 260 mm
Breite: 183 mm
Dicke: 34 mm
Gewicht
ISBN-13
978-1-032-79305-4 (9781032793054)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Hamid D. Taghirad received his M.Sc. in mechanical engineering (mechatronics) in 1993 and his Ph.D. in electrical engineering (control-robotics) in 1997, both from McGill University, Montreal, Canada. He is currently a Professor and the Director of the Advanced Robotics and Automated System (ARAS). Additionally, he has served as a Visiting Professor at McGill University, ETS, Concordia University, and most recently at the University of Alberta in Canada. As a senior member of IEEE, Hamid D. Taghirad contributes to the field of Robotics as an associate editor of IEEE Transactions on Medical Robotics and Bionics (IEEE - TMRB) and Frontiers in Robotics and AI - Biomedical Robotics. He is also part of the editorial board of the International Journal of Robotics: Theory and Applications. His research interests primarily revolve around robust and nonlinear control applied to robotics, with a focus on medical robotics, as well as the application of VR and AI technologies in medical applications. He boasts a substantial publication record, including seven books and over 300 papers in peer-reviewed international journals and conference proceedings.
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
