000			01975nam a22001697a 4500
005			20240222103222.0
008			240222b |||||||| |||| 00| 0 eng d
020			_a9780070482937
082			_a629.892 _bMIT
100			_aR K. Mittle, I J. Nagrath
245			_aRobotics And Control _cR K. Mittle, I J. Nagrath
260			_aDelhi _bMc Grawhill _c2003
300			_a487p
505			_tChapter 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
520			_aFeatures The book provides a compressive overview of the fundamental skills underlying the mechanism and control of manipulators. Detailed chapter on Velocity Transformations, jacobian and Singularities. Trajectory Planning is developed using both joint space and Cartesian space methods. 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. A comprehensive chapter on Robotic Control covering control strategies like PD, PID, computed torque control, force and impedance control at an appropriate level. A METLAB tutorial on using the package for Robotics is included as an appendix. A full chapter on the industrial applications of robots. All important industrial robot configurations with varying degrees of freedom are covered in various chapters and solved examples. An elaborate chapter (Chapter 9) devoted to Robotic Sensors and Vision. Includes over 50 solved examples and more than 270 simple-to-complex end-of-chapter exercises. Appendix on the underlying maths – Linear Algebra, Moment of Inertia Tensor and Equations of Motion
942			_2ddc _cBK
999			_c2096 _d2096