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Introduction to Robotics provides a comprehensive overview of the fundamentals and applications of robotics. It is designed to give readers, especially engineering and computer science students, a strong foundation in robotic systems, mechanisms, sensors, actuators, and control strategies.The book typically begins with a historical perspective and the evolution of robotics, followed by an exploration of robotic anatomy, kinematics, dynamics, and control. Key topics such as forward and inverse kinematics, motion planning, machine vision, and artificial intelligence in robotics are covered in…mehr

Produktbeschreibung
Introduction to Robotics provides a comprehensive overview of the fundamentals and applications of robotics. It is designed to give readers, especially engineering and computer science students, a strong foundation in robotic systems, mechanisms, sensors, actuators, and control strategies.The book typically begins with a historical perspective and the evolution of robotics, followed by an exploration of robotic anatomy, kinematics, dynamics, and control. Key topics such as forward and inverse kinematics, motion planning, machine vision, and artificial intelligence in robotics are covered in depth. Practical applications in manufacturing, service industries, space exploration, and medical fields are also discussed to illustrate real-world relevance.Mathematical modeling and programming concepts are introduced alongside case studies and examples, offering a hands-on approach to understanding robot behavior and system integration.Overall, the book balances theory with practical insight, making it a valuable resource for students, educators, and professionals entering the field of robotics.
Autorenporträt
Dr M. Charles Arockiaraj is working as an Associate Professor in the AMC Engineering College, Bangalore, Karnataka, he is an accomplished academic with a diverse set of skills and qualifications. With his extensive experience in teaching, research, and development of software. His work in Image Processing, Signal Processing, Pattern Matching.