In today’s society, robots are used in various areas especially in those where high precision is required. Robots have improved life standards and we are upgrading their performances in order to make our lives easier and more comfortable. Many applications in the field of medicine and industry use different kind of motor-based systems such as robots because of their wide-range of sufficient characteristics like the fact that they can be used as constant power devices with accurate positioning and fast response. Kiran Kumar, 'Design and Analysis of Robot Arm using Matlab & ANYSYS,' SSRG International Journal of Mechanical Engineering, vol. Table of contents Chapter 1 Introduction to Robotics Chapter 2 Coordinate Frames, Mapping and Transforms Chapter 3 Symbolic Modeling of Robots ? Direct Kinematic Model Chapter 4 The Inverse Kinematics Chapter 5 Manipulator Differential Motion and Statics Chapter 6 Dynamic Modeling Chapter 7 Trajectory Planning Chapter 8 Control of Manipulators Chapter 9 Robotics Sensors and Vision Chapter 10 Robot Applications Appendix A : Review of Linear Algebra and Trigonometry Appendix B : METLAB and SIMULINK Appendix C : Link Mass Distribution and the Moment of Inertia Tensor Appendix D : Derivation of Equations of Motion Appendix E : List of Symbols Index Printed Pages: 487.Ramanideepthi Tanneeru, Ajay Jandrajupalli, B. # Appendix on the underlying maths ? Linear Algebra, Moment of Inertia Tensor and Equations of Motion. # Includes over 50 solved examples and more than 270 simple-to-complex end-of-chapter exercises. # An elaborate chapter (Chapter 9) devoted to Robotic Sensors and Vision. # All important industrial robot configurations with varying degrees of freedom are covered in various chapters and solved examples. # A full chapter on the industrial applications of robots. # A METLAB tutorial on using the package for Robotics is included as an appendix. # A comprehensive chapter on Robotic Control covering control strategies like PD, PID, computed torque control, force and impedance control at an appropriate level. # Dynamic Modeling is treated by Lagrange-Euler and Euler-Newton formulations complex derivations are put in the appendix to ensure a smooth flow for the reader.

# Trajectory Planning is developed using both joint space and Cartesian space methods.

# Detailed chapter on Velocity Transformations, jacobian and Singularities. # The book provides a compressive overview of the fundamental skills underlying the mechanism and control of manipulators.

Robotics and control by rk mittal