Robot Modeling and Control

Robot Modeling and Control introduces the fundamentals of robot modeling and control and provides background material on terminology, linear algebra, dynamical systems and stability theory, followed by detailed coverage of forward and in-verse kinematics, Jacobians, Lagrangian dynamics, motion planning, robust and adaptive motion and force control, and com-puter vision.  Both basic and advanced material is presented in a style that is readable and mathematically rigorous.  The book provides relevant applications from industrial robotics and mobile robotics. Suitable for a one or two term course, this text is appropriate for undergraduate and graduate students from electrical engineering, mechanical engineering, computer science, and mathematics and can be used as a research reference. Many detailed worked examples and extensive problems illustrate theory and point the reader to more advanced topics.

• Robotics, Vision and Control: Fundamental Algorithms In MATLAB, Second Edition (Springer Tracts in Advanced Robotics)
• Modern Robotics: Mechanics, Planning, and Control
• A Mathematical Introduction to Robotic Manipulation
• Introduction to Robotics: Mechanics and Control (4th Edition)
• Introduction to Autonomous Mobile Robots (Intelligent Robotics and Autonomous Agents series)
• Engineering Design : Second Edition
• Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series)
• Shigley's Mechanical Engineering Design (McGraw-Hill Series in Mechanical Engineering)
• Control Systems Engineering
• Feedback Control of Dynamic Systems (8th Edition) (What's New in Engineering)