Robotics Laboratory
Theory and Practical Experiments
1st Edition
Published on 15. January 2016
Book
Hardback
300 pages
978-1-4398-6884-3 (ISBN)
Description
Organized as a series of projects that introduce robotic engineering concepts and immediately apply these on a practical design, build, and program project, this book builds practical and theoretical concepts of robotic mechanics, control and programming. Designed so that both practical projects and theoretical background go hand in hand, the text uses RobotC throughout the projects and includes homework problems, case studies, as well as examples in each chapter. A solutions manual is also available.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
100 s/w Abbildungen
100 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-4398-6884-3 (9781439868843)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Person
Content
Introduction: Introduction to robotics. Introduction to feedback control. Introduction to LEGO NXT micro-controller. Introduction to RobotC programming. Overview and organization of the book. Robotic Arm: Building a robotic arm. Mechanics of a robotic arm. Forward kinematics. Reverse kinematics. Control of a robotic arm. Project: Simple experiments with a robotic arm -performing repetitive tasks. Project: Trajectory planning with a robotic arm. Differential Drive Car Robot: Building a car robot. Understanding PID control. Project: Moving a car robot with PID control. Sensors: Sensor theory. Interfacing sensors. Light, soar and touch sensors. Project: Obstacle avoidance with sensors. Coordinate Transformation: Local and global coordinate systems. Calculating global coordinates with local coordinates for a car robot. Project: RobotC program that calculates the global coordinates using a car robots local variables. Trajectory Tracking: Trajectory tracking for a car robot. PID control for trajectory tracking. Project: Trajectory following and control for a car robot. Machine Vision: Images. Statistical review. Histogram. Thresholding. Connectivity. Edge detection. Way point analysis. Obstacle avoidance using machine vision. Project: Moving a car robot in an obstacle course using machine vision and way point analysis. Advanced Topics: Multivariable control. Robust control. Non-linear control. Project: Robust control of a car robot.