Fundamentals of Robotics: Applied Case Studies with MATLAB® & Python

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.

Unique to this text is the integration of MATLAB® 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.

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.