Robot Modeling and Control - M. Vidyasagar
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Présentation Robot Modeling And Control de M. Vidyasagar Format Relié
- Livre Littérature Générale
Résumé : Preface v 1 Introduction 1 1.1 Mathematical Modeling of Robots 5 1.1.1 Symbolic Representation of Robot Manipulators 5 1.1.2 The Configuration Space 5 1.1.3 The State Space 6 1.1.4 The Workspace 7 1.2 Robots as Mechanical Devices 7 1.2.1 Classification of Robotic Manipulators 8 1.2.2 Robotic Systems 10 1.2.3 Accuracy and Repeatability 10 1.2.4 Wrists and End Effectors 12 1.3 Common Kinematic Arrangements 13 1.3.1 Articulated Manipulator (RRR) 13 1.3.2 Spherical Manipulator (RRP) 14 1.3.3 SCARA Manipulator (RRP) 14 1.3.4 Cylindrical Manipulator (RPP) 15 1.3.5 Cartesian Manipulator (PPP) 15 1.3.6 Parallel Manipulator 18 1.4 Outline of the Text 18 1.4.1 Manipulator Arms 18 1.4.2 Underactuated and Mobile Robots 27 Problems 27 Notes and References 29 I The Geometry of Robots 33 2 Rigid Motions 35 2.1 Representing Positions 36 2.2 Representing Rotations 38 2.2.1 Rotation in the Plane 38 2.2.2 Rotations in Three Dimensions 41 2.3 Rotational Transformations 44 2.4 Composition of Rotations 48 2.4.1 Rotation with Respect to the Current Frame 48 2.4.2 Rotation with Respect to the Fixed Frame 50 2.4.3 Rules for Composition of Rotations 51 2.5 Parameterizations of Rotations 52 2.5.1 Euler Angles 53 2.5.2 Roll, Pitch, Yaw Angles 55 2.5.3 Axis-Angle Representation 57 2.5.4 Exponential Coordinates 59 2.6 Rigid Motions 61 2.6.1 Homogeneous Transformations 62 2.6.2 Exponential Coordinates for General Rigid Motions 65 2.7 Chapter Summary 65 Problems 67 Notes and References 73 3 Forward Kinematics 75 3.1 Kinematic Chains 75 3.2 The Denavit-Hartenberg Convention 78 3.2.1 Existence and Uniqueness 80 3.2.2 Assigning the Coordinate Frames 83 3.3 Examples 87 3.3.1 Planar Elbow Manipulator 87 3.3.2 Three-Link Cylindrical Robot 89 3.3.3 The Spherical Wrist 90 3.3.4 Cylindrical Manipulator with Spherical Wrist 91 3.3.5 Stanford Manipulator 93 3.3.6 SCARA Manipulator 95 3.4 Chapter Summary 96 Problems 96 Notes and References 99 4 Velocity Kinematics 101 4.1 Angular Velocity: The Fixed Axis Case 102 4.2 Skew-Symmetric Matrices 103 4.2.1 Properties of Skew-Symmetric Matrices 104 4.2.2 The Derivative of a Rotation Matrix 105 4.3 Angular Velocity: The General Case 107 4.4 Addition of Angular Velocities 108 4.5 Linear Velocity of a Point Attached to a Moving Frame 110 4.6 Derivation of the Jacobian 111 4.6.1 Angular Velocity 112 4.6.2 Linear Velocity 113 4.6.3 Combining the Linear and Angular Velocity Jacobians 115 4.7 The Tool Velocity 119 4.8 The Analytical Jacobian 121 4.9 Singularities 122 4.9.1 Decoupling of Singularities 123 4.9.2 Wrist Singularities 125 4.9.3 Arm Singularities 125 4.10 Static Force/Torque Relationships 129 4.11 Inverse Velocity and Acceleration 131 4.12 Manipulability 133 4.13 Chapter Summary 136 Problems 138 Notes and References 140 5 Inverse Kinematics 141 5.1 The General Inverse Kinematics Problem 141 5.2 Kinematic Decoupling 143 5.3 Inverse Position: A Geometric Approach 145 5.3.1 Spherical Configuration 146 5.3.2 Articulated Configuration 148 5.4 Inverse Orientation 151 5.5 Numerical Inverse Kinematics 156 5.6 Chapter Summary 158 Problems 160
Biographie: MARK W. SPONG has been researching and teaching robotics for over 35 years. He currently serves as a Professor, Excellence in Education Chair, in the Department of Systems Engineering at the University of Texas at Dallas. He has been recognized for outstanding achievements including the John R. Ragazzini Award for Control Education and the IEEE RAS Pioneer in Robotics Award. He is currently a Fellow of both IEEE and IFAC. SETH HUTCHINSON received his Ph.D. from Purdue University in 1988, and is currently Professor and KUKA Chair for Robotics in the School of Interactive Computing at the Georgia Institute of Technology, where he also serves as Executive Director of the Institute for Robotics and Intelligent Machines. He was the Founding Editor-in-Chief of the IEEE Robotics and Automation Society's Conference Editorial Board, Editor-in-Chief of the IEEE Transactions on Robotics, and is a Fellow of the IEEE. His research in robotics spans the areas of planning, sensing, and control. MATHUKUMALLI VIDYASAGAR received his Ph.D. in electrical engineering in 1969 from the University of Wisconsin in Madison. During his fifty-year career, he has worked in control theory, machine learning, robotics and cancer biology. Among the many honors he has received are Fellowship in The Royal Society and the IEEE Control Systems Award. At present he is a Distinguished Professor at the Indian Institute of Technology Hyderabad....
Sommaire:
the first two serve as a guide to the fundamentals of robotics and motion control, while the last two dive more in-depth into control theory and nonlinear system analysis.
With the new edition, readers gain access to new case studies and thoroughly researched information covering topics such as:?
?????? Motion-planning, collision avoidance, trajectory optimization, and control of robots
?????? Popular topics within the robotics industry and how they apply to various technologies
?????? An expanded set of examples, simulations, problems, and case studies
?????? Open-ended suggestions for students to apply the knowledge to real-life situations
A four-part reference essential for both undergraduate and graduate students, Robot Modeling and Control serves as a foundation for a solid education in robotics and motion planning.
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