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Practical Robot Design: Game Playing Robots

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Notă GoodReads:
en Limba Engleză Hardback – 17 Oct 2013
Designed for beginners, undergraduate students, and robotics enthusiasts, Practical Robot Design: Game Playing Robots is a comprehensive guide to the theory, design, and construction of game-playing robots. Drawing on years of robot building and teaching experience, the authors demonstrate the key steps of building a robot from beginning to end, with independent examples for extra modules. Each chapter covers basic theory and key topics, including actuators, sensors, robot vision, and control, with examples and case studies from robotic games. Furthermore, the book discusses the application of AI techniques and provides algorithms, and application examples with MATLAB(R) code.The book includes: Comprehensive coverate on drive motors and drive motor control References to vendor websites as necessary Digital control techniques, with a focus on implementation Techniques for designing and implementing slightly advanced controllers for pole-balancing robots Basic artificial intelligence techniques with examples in MATLAB Discussion of the vision systems, sensor systems, and controlling of robots The result of a summer course for students taking up robotic games as their final-year project, the authors hope that this book will empower readers in terms of the necessary background as well as the understanding of how various engineering fields are amalgamated in robotics.
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ISBN-13: 9781439810330
ISBN-10: 1439810338
Pagini: 418
Ilustrații: 293 b/w images and 11 tables
Dimensiuni: 157 x 236 x 25 mm
Greutate: 0.73 kg
Ediția: New.
Editura: CRC Press

Public țintă

Undergraduates, prep college and high school students in robotics, control, electronics, mechanics and mechatronics; robotics enthusiasts.


Game Robotics Introduction Robotics Games and Engineering Education Robotic Games in Singapore Robotic Games around the World Overview of the Book Basic Robotics Introduction to Robotic Systems Coordinate Transformations and Finding Position of Moving Objects in Space Wheel Drive in Mobile Robots Robotic Arms Sensors Sensors Used in Game Robotics Robot Vision Introduction Camera Systems for Robotics Image Formation Digital Image-Processing Basics Basic Image-Processing Operations Algorithms for Feature Extraction Symbolic Feature Extraction Methods Case Study Tracking a Colored Ball Basic Theory of Electrical Machines and Drive Systems Actuators for Robots Electrical Actuators Specific Needs of Robotics Drives Drive Systems Motor Power Selection and Gear Ratio Design for Mobile Robots Gear Ratio for a Mobile Robot Power Requirement of the Drive Motor Typical Motor Characteristics Data Sheet Friction Measurement in a Linear Motion System First Approach: Gear Ratio Design Second Approach: System Performance as a Function of Gear Ratio Gear Ratio Design for Stepper Motors Design Procedures for Mobile Robot That Are Not Ground Based Control Fundamentals Control Theory for Robotics Types of Plants Classification Based on Control System Need for Intelligent Robot Structure A Typical Robot Control System Trends in Control Review of Mathematical Modeling, Transfer Functions, State Equations, and Controllers Introduction Importance of Modeling Transfer Function Models Steps in Modeling Some Basic Components Often Encountered in Control Systems Block Diagram Concepts Some System Examples State Equations Time Domain Solutions Using Transfer Functions Approach Time Domain Solutions of State Equations Regulator and Servo Controllers Digital Control Fundamentals and Controller Design Introduction Digital Control Overview Signal Representation in Digital Systems Plant Representation in Digital Systems Closed-Loop System Transfer Functions Response of Discrete Time Systems, Inverse Z-Transforms Typical Controller Software Implementation Discrete State Space Systems Discrete State Feedback Controllers Typical Hardware Implementation of Controllers Case Study with Poll-Balancing and Wall-Climbing Robots Introduction Pole-Balancing Robot Wall-Climbing Robots Mapping, Navigation, and Path Planning Introduction Perception Navigation Path Planning References Robot Autonomy, Decision-Making, and Learning Introduction Robot Autonomy Decision-Making Robot Learning

Notă biografică

Muhammet Fikret Ercan and Jagannathan Kanniah are both with Singapore Polytechnic, Singapore.