Muutke küpsiste eelistusi

E-raamat: Robotics and Control: Fundamental Algorithms in MATLAB(R)

  • Formaat - PDF+DRM
  • Hind: 61,74 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This textbook offers a tutorial introduction to robotics and control which is light and easy to absorb.





The practice of robotics and control both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and control a very large body of algorithms has been developed. However this body of knowledge is something of a barrier for anybody entering the field, or even looking to see if they want to enter the field What is the right algorithm for a particular problem , and importantly: How can I try it out without spending days coding and debugging it from the original research papers?





The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provides a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself.





The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and control separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and control. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, and covers both mobile robots (control, path planning, navigation, localization and SLAM) and arm robots (forward and inverse kinematics, Jacobians, dynamics and joint level control).





An authoritative book, reaching across fields, thoughtfully conceived and brilliantly accomplished!





Oussama Khatib, Stanford

Arvustused

Written in a light but quite informative style, the book is intended for students and scientists and should be of interest to practicing and research engineers as well as Ph.D. students in the field of modeling and control of spatial mechanisms, manipulators and robots. (Clementina Mladenova, zbMATH 1492.93004, 2022)

1 Introduction
1(12)
1.1 Robots, Jobs and Ethics
7(1)
1.2 About the Book
8(5)
1.2.1 MATLAB Software and the Toolboxes
8(1)
1.2.2 Notation, Conventions and Organization
9(1)
1.2.3 Audience and Prerequisites
10(1)
1.2.4 Learning with the Book
11(1)
1.2.5 Teaching with the Book
11(1)
1.2.6 Outline
11(1)
Further Reading
12(1)
Part I Foundations
13(78)
2 Representing Position and Orientation
15(46)
2.1 Working in Two Dimensions (2D)
20(9)
2.1.1 Orientation in 2-Dimensions
21(3)
2.1.2 Pose in 2-Dimensions
24(5)
2.2 Working in Three Dimensions (3D)
29(18)
2.2.1 Orientation in 3-Dimensions
30(14)
2.2.2 Pose in 3-Dimensions
44(3)
2.3 Advanced Topics
47(7)
2.3.1 Normalization
47(1)
2.3.2 Understanding the Exponential Mapping
48(2)
2.3.3 More About Twists
50(3)
2.3.4 Dual Quaternions
53(1)
2.3.5 Configuration Space
53(1)
2.4 Using the Toolbox
54(2)
2.5 Wrapping Up
56(5)
Further Reading
58(1)
Exercises
59(2)
3 Time and Motion
61(30)
3.1 Time-Varying Pose
61(5)
3.1.1 Derivative of Pose
61(1)
3.1.2 Transforming Spatial Velocities
62(2)
3.1.3 Incremental Rotation
64(1)
3.1.4 Incremental Rigid-Body Motion
65(1)
3.2 Accelerating Bodies and Reference Frames
66(2)
3.2.1 Dynamics of Moving Bodies
66(1)
3.2.2 Transforming Forces and Torques
67(1)
3.2.3 Inertial Reference Frame
67(1)
3.3 Creating Time-Varying Pose
68(9)
3.3.1 Smooth One-Dimensional Trajectories
68(3)
3.3.2 Multi-Dimensional Trajectories
71(1)
3.3.3 Multi-Segment Trajectories
72(1)
3.3.4 Interpolation of Orientation in 3D
73(2)
3.3.5 Cartesian Motion in 3D
75(2)
3.4 Application: Inertial Navigation
77(11)
3.4.1 Gyroscopes
77(2)
3.4.2 Accelerometers
79(4)
3.4.3 Magnetometers
83(2)
3.4.4 Sensor Fusion
85(3)
3.5 Wrapping Up
88(3)
Further Reading
88(1)
Exercises
89(2)
Part II Mobile Robots
91(96)
4 Mobile Robot Vehicles
97(26)
4.1 Wheeled Mobile Robots
97(15)
4.1.1 Car-Like Mobile Robots
97(10)
4.1.2 Differentially-Steered Vehicle
107(3)
4.1.3 Omnidirectional Vehicle
110(2)
4.2 Flying Robots
112(5)
4.3 Advanced Topics
117(2)
4.3.1 Nonholonomic and Under-Actuated Systems
117(2)
4.4 Wrapping Up
119(4)
Further Reading
120(1)
Toolbox and MATLAB Notes
121(1)
Exercises
121(2)
5 Navigation
123(26)
5.1 Reactive Navigation
124(4)
5.1.1 Braitenberg Vehicles
124(2)
5.1.2 Simple Automata
126(2)
5.2 Map-Based Planning
128(16)
5.2.1 Distance Transform
128(4)
5.2.2 D*
132(2)
5.2.3 Introduction to Roadmap Methods
134(1)
5.2.4 Probabilistic Roadmap Method (PRM)
135(3)
5.2.5 Lattice Planner
138(4)
5.2.6 Rapidly-Exploring Random Tree (RRT)
142(2)
5.3 Wrapping Up
144(5)
Further Reading
145(1)
Resources
146(1)
MATLAB Notes
146(1)
Exercises
146(3)
6 Localization
149(38)
6.1 Dead Reckoning
153(5)
6.1.1 Modeling the Vehicle
153(2)
6.1.2 Estimating Pose
155(3)
6.2 Localizing with a Map
158(5)
6.3 Creating a Map
163(2)
6.4 Localization and Mapping
165(2)
6.5 Rao-Blackwellized SLAM
167(1)
6.6 Pose Graph SLAM
168(5)
6.7 Sequential Monte-Carlo Localization
173(3)
6.8 Application: Scanning Laser Rangefinder
176(4)
Laser Odometry
177(2)
Laser-Based Map Building
179(1)
Laser-Based Localization
180(1)
6.9 Wrapping Up
180(7)
Further Reading
181(2)
Toolbox and MATLAB Notes
183(1)
Exercises
183(4)
Part III Arm-Type Robots
187(94)
7 Robot Arm Kinematics
191(36)
7.1 Forward Kinematics
191(12)
7.1.1 2-Dimensional (Planar) Robotic Arms
192(2)
7.1.2 3-Dimensional Robotic Arms
194(9)
7.2 Inverse Kinematics
203(6)
7.2.1 2-Dimensional (Planar) Robotic Arms
203(2)
7.2.2 3-Dimensional Robotic Arms
205(4)
7.3 Trajectories
209(6)
7.3.1 Joint-Space Motion
209(3)
7.3.2 Cartesian Motion
212(1)
7.3.3 Kinematics in Simulink
212(1)
7.3.4 Motion through a Singularity
213(1)
7.3.5 Configuration Change
214(1)
7.4 Advanced Topics
215(3)
7.4.1 Joint Angle Offsets
215(1)
7.4.2 Determining Denavit-Hartenberg Parameters
215(1)
7.4.3 Modified Denavit-Hartenberg Parameters
216(2)
7.5 Applications
218(5)
7.5.1 Writing on a Surface
218(1)
7.5.2 A Simple Walking Robot
219(4)
7.6 Wrapping Up
223(4)
Further Reading
224(1)
MATLAB and Toolbox Notes
225(1)
Exercises
225(2)
8 Manipulator Velocity
227(22)
8.1 Manipulator Jacobian
227(5)
8.1.1 Jacobian in the World Coordinate Frame
227(3)
8.1.2 Jacobian in the End-Effector Coordinate Frame
230(1)
8.1.3 Analytical Jacobian
230(2)
8.2 Jacobian Condition and Manipulability
232(3)
8.2.1 Jacobian Singularities
232(1)
8.2.2 Manipulability
233(2)
8.3 Resolved-Rate Motion Control
235(3)
8.3.1 Jacobian Singularity
238(1)
8.4 Under- and Over-Actuated Manipulators
238(4)
8.4.1 Jacobian for Under-Actuated Robot
239(1)
8.4.2 Jacobian for Over-Actuated Robot
240(2)
8.5 Force Relationships
242(1)
8.5.1 Transforming Wrenches to Joint Space
242(1)
8.5.2 Force Ellipsoids
242(1)
8.6 Inverse Kinematics: a General Numerical Approach
243(2)
8.6.1 Numerical Inverse Kinematics
243(2)
8.7 Advanced Topics
245(1)
8.7.1 Computing the Manipulator Jacobian Using Twists
245(1)
8.8 Wrapping Up
245(4)
Further Reading
246(1)
MATLAB and Toolbox Notes
246(1)
Exercises
246(3)
9 Dynamics and Control
249(32)
9.1 Independent Joint Control
249(12)
9.1.1 Actuators
249(1)
9.1.2 Friction
250(1)
9.1.3 Effect of the Link Mass
251(1)
9.1.4 Gearbox
252(1)
9.1.5 Modeling the Robot Joint
253(2)
9.1.6 Velocity Control Loop
255(4)
9.1.7 Position Control Loop
259(1)
9.1.8 Independent Joint Control Summary
260(1)
9.2 Rigid-Body Equations of Motion
261(8)
9.2.1 Gravity Term
262(2)
9.2.2 Inertia Matrix
264(1)
9.2.3 Coriolis Matrix
265(1)
9.2.4 Friction
266(1)
9.2.5 Effect of Payload
266(1)
9.2.6 Base Force
267(1)
9.2.7 Dynamic Manipulability
267(2)
9.3 Forward Dynamics
269(1)
9.4 Rigid-Body Dynamics Compensation
270(4)
9.4.1 Feedforward Control
271(1)
9.4.2 Computed Torque Control
272(1)
9.4.3 Operational Space Control
273(1)
9.5 Applications
274(2)
9.5.1 Series-Elastic Actuator (SEA)
274(2)
9.6 Wrapping Up
276(5)
Further Reading
276(2)
Exercises
278(3)
Appendices
281(60)
A Installing the Toolboxes
283(4)
B Linear Algebra Refresher
287(8)
C Geometry
295(12)
D Lie Groups and Algebras
307(6)
E Linearization, Jacobians and Hessians
313(4)
F Solving Systems of Equations
317(10)
G Gaussian Random Variables
327(4)
H Kalman Filter
331(6)
I Graphs
337(4)
Bibliography 341(6)
Index 347(1)
Index of People 347(1)
Index of Functions, Classes and Methods 348(3)
General Index 351
The author is the organizer of the venerable Robotics Toolbox for Matlab with 100.000 + downloads per year (as well as the Vision Toolbox for Matlab)





Peter Corke has been appointed new Editor of the IEEE Robotics and Automation Magazine.