Freshly Printed - allow 7 days lead
Couldn't load pickup availability
Robot Modeling and Control
Mark W. Spong (Author), Seth Hutchinson (Author), M. Vidyasagar (Author)
9781119523994, Wiley
Hardback, published 27 February 2020
608 pages
24.6 x 17.3 x 3.8 cm, 1.225 kg
A New Edition Featuring Case Studies and Examples of the Fundamentals of Robot Kinematics, Dynamics, and Control In the 2nd Edition of Robot Modeling and Control, students will cover the theoretical fundamentals and the latest technological advances in robot kinematics. With so much advancement in technology, from robotics to motion planning, society can implement more powerful and dynamic algorithms than ever before. This in-depth reference guide educates readers in four distinct parts; 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.
Preface v 1 Introduction 1 1.1 Mathematical Modeling of Robots 5 1.2 Robots as Mechanical Devices 7 1.3 Common Kinematic Arrangements 13 1.4 Outline of the Text 18 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 2.3 Rotational Transformations 44 2.4 Composition of Rotations 48 2.5 Parameterizations of Rotations 52 2.6 Rigid Motions 61 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 3.3 Examples 87 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 4.3 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 4.7 The Tool Velocity 119 4.8 The Analytical Jacobian 121 4.9 Singularities 122 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 5.4 Inverse Orientation 151 5.5 Numerical Inverse Kinematics 156 5.6 Chapter Summary 158 Problems 160 Notes and References 162 II Dynamics and Motion Planning 163 6 Dynamics 165 6.1 The Euler-Lagrange Equations 166 6.2 Kinetic and Potential Energy 177 6.3 Equations of Motion 181 6.4 Some Common Configurations 184 6.5 Properties of Robot Dynamic Equations 194 6.6 Newton-Euler Formulation 198 6.7 Chapter Summary 209 Problems 211 Notes and References 214 7 Path and Trajectory Planning 215 7.1 The Configuration Space 216 7.2 Path Planning for Q = ℝ2 221 7.3 Artificial Potential Fields 229 7.4 Sampling-Based Methods 245 7.5 Trajectory Planning 252 7.6 Chapter Summary 263 Problems 265 Notes and References 267 III Control of Manipulators 269 8 Independent Joint Control 271 8.1 Introduction 271 8.2 Actuator Dynamics 273 8.3 Load Dynamics 276 8.4 Independent Joint Model 278 8.5 PID Control 281 8.6 Feedforward Control 288 8.7 Drive-Train Dynamics 292 8.8 State Space Design 297 8.9 Chapter Summary 304 Problems 307 Notes and References 309 9 Nonlinear and Multivariable Control 311 9.1 Introduction 311 9.2 PD Control Revisited 313 9.3 Inverse Dynamics 317 9.4 Passivity-Based Control 329 9.5 Torque Optimization 333 9.6 Chapter Summary 337 Problems 341 Notes and References 343 10 Force Control 345 10.1 Coordinate Frames and Constraints 347 10.2 Network Models and Impedance 351 10.3 Task Space Dynamics and Control 355 10.4 Chapter Summary 361 Problems 362 Notes and References 364 11 Vision-Based Control 365 11.1 Design Considerations 366 11.2 Computer Vision for Vision-Based Control 368 11.3 Camera Motion and the Interaction Matrix 378 11.4 The Interaction Matrix for Point Features 379 11.5 Image-Based Control Laws 386 11.6 End Effector and Camera Motions 393 11.7 Partitioned Approaches 394 11.8 Motion Perceptibility 397 11.9 Summary 399 Problems 401 Notes and References 405 12 Feedback Linearization 409 12.1 Background 410 12.2 Feedback Linearization 417 12.3 Single-Input Systems 419 12.4 Multi-Input Systems 429 12.5 Chapter Summary 433 Problems 433 Notes and References 435 IV Control of Underactuated Systems 437 13 Underactuated Robots 439 13.1 Introduction 439 13.2 Modeling 440 13.3 Examples of Underactuated Robots 443 13.4 Equilibria and Linear Controllability 448 13.5 Partial Feedback Linearization 456 13.6 Output Feedback Linearization 461 13.7 Passivity-Based Control 466 13.8 Chapter Summary 474 Problems 476 Notes and References 477 14 Mobile Robots 479 14.1 Nonholonomic Constraints 480 14.2 Involutivity and Holonomy 484 14.3 Examples of Nonholonomic Systems 487 14.4 Dynamic Extension 493 14.5 Controllability of Driftless Systems 495 14.6 Motion Planning 499 14.7 Feedback Control of Driftless Systems 509 14.8 Chapter Summary 519 Problems 520 Notes and References 521 A Trigonometry 523 A.1 The Two-Argument Arctangent Function 523 A.2 Useful Trigonometric Formulas 523 B Linear Algebra 525 B.1 Vectors 525 B.2 Inner Product Spaces 526 B.3 Matrices 528 B.4 Eigenvalues and Eigenvectors 530 B.5 Differentiation of Vectors 533 B.6 The Matrix Exponential 534 B.7 Lie Groups and Lie Algebras 534 B.8 Matrix Pseudoinverse 536 B.9 Schur Complement 536 B.10 Singular Value Decomposition (SVD) 537 C Lyapunov Stability 539 C.1 Continuity and Differentiability 539 C.2 Vector Fields and Equilibria 541 C.3 Lyapunov Functions 545 C.4 Stability Criteria 545 C.5 Global and Exponential Stability 546 C.6 Stability of Linear Systems 547 C.7 LaSalle's Theorem 548 C.8 Barbalat's Lemma 549 D Optimization 551 D.1 Unconstrained Optimization 551 D.2 Constrained Optimization 552 E Camera Calibration 555 E.1 The Image Plane and the Sensor Array 555 E.2 Extrinsic Camera Parameters 556 E.3 Intrinsic Camera Parameters 557 E.4 Determining the Camera Parameters 557 Bibliography 561 Index 576
Subject Areas: Electronics & communications engineering [TJ]
