Handbook of robot dynamics and control: Theory, algorithms, and applications - Softcover

Robinson, Gerald

 
9798187375097: Handbook of robot dynamics and control: Theory, algorithms, and applications

Inhaltsangabe

Handbook of Robot Dynamics and Control is a comprehensive and authoritative guide designed for students, researchers, engineers, and robotics professionals seeking a deep understanding of the principles that govern robot motion, stability, and intelligent control. Whether you are studying robotics for the first time or developing advanced autonomous systems, this book provides a solid foundation in the mathematical theory, computational algorithms, and practical engineering techniques that drive modern robotic systems. Covering both classical and contemporary approaches, this handbook explores the complete workflow of robotic system development, from kinematics and rigid-body dynamics to advanced control strategies and real-world implementation. Readers will gain insight into robot modeling, forward and inverse dynamics, trajectory generation, motion planning, feedback control, force and impedance control, nonlinear control, adaptive control, robust control, optimal control, and learning-based control methods. The book also examines state estimation, sensor integration, actuator technologies, system identification, and the dynamics of mobile robots, industrial manipulators, humanoid robots, aerial robots, and collaborative robots. Practical applications are emphasized throughout, demonstrating how theoretical concepts are translated into high-performance robotic systems used in manufacturing, healthcare, logistics, agriculture, aerospace, defense, autonomous vehicles, warehouse automation, and service robotics. Detailed explanations, mathematical derivations, engineering insights, and algorithmic examples help bridge the gap between academic study and industrial practice. In addition to traditional robotics topics, the handbook introduces emerging trends shaping the future of intelligent machines, including artificial intelligence integration, reinforcement learning for robot control, digital twins, human-robot collaboration, cloud robotics, swarm robotics, and autonomous decision-making. Readers will discover how advanced control architectures improve precision, safety, efficiency, adaptability, and reliability in increasingly complex robotic environments. Written in a clear, structured, and accessible style, Handbook of Robot Dynamics and Control serves equally well as a university textbook, professional reference, and self-study resource. Each chapter builds progressively, making sophisticated concepts easier to understand while maintaining the technical depth expected by advanced learners and practicing engineers. Whether your goal is designing industrial robotic manipulators, developing autonomous mobile robots, creating intelligent robotic systems, or advancing research in robot dynamics and control, this book provides the knowledge, analytical tools, and engineering methodologies needed to succeed in one of today's fastest-growing technological fields. It is an indispensable reference for anyone committed to mastering the science and engineering of modern robotics.

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