Mobile Robot Programming
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Mobile Robot Programming Toolkit
Author: Fouad Sabry
language: en
Publisher: One Billion Knowledgeable
Release Date: 2025-01-21
"Mobile Robot Programming Toolkit" is an essential resource for anyone looking to delve into the dynamic world of robotics programming. Written for professionals, undergraduate and graduate students, enthusiasts, and hobbyists, this book offers a practical guide to building, understanding, and programming mobile robots. By blending theory with handson approaches, the book empowers readers to apply cuttingedge techniques in robot navigation, mapping, and artificial intelligence Chapters Brief Overview: Mobile Robot Programming Toolkit: Introduction to mobile robot programming fundamentals, software setup, and essential tools for developing robotic systems Boids: Explore the Boids algorithm for simulating flocking behavior and its application in swarm robotics Neuroevolution: Learn about neuroevolution techniques to optimize robotic control systems and enhance performance over time Robotic mapping: Understand the core concepts of robotic mapping, including techniques for creating accurate environment representations Simultaneous localization and mapping: Discover methods for enabling robots to map their surroundings while simultaneously determining their position Iterative closest point: An introduction to the ICP algorithm, key for refining 3D object models and improving robot localization accuracy Software visualization: Learn how to visualize robotic software to enhance debugging, testing, and optimization processes Hilbert curve: Gain insight into the Hilbert curve's role in improving spatial data processing and navigation in mobile robots Nearest neighbor search: Delve into algorithms for efficiently finding the nearest neighbors in datasets, a crucial aspect of robot decisionmaking Collaborative mapping: Discover collaborative mapping techniques that allow multiple robots to work together to create detailed maps of unknown environments Indoor positioning system: Explore the concepts behind indoor positioning systems, which are essential for robots operating in GPSdenied environments Robot navigation: Understand the principles of autonomous robot navigation, including path planning, obstacle avoidance, and decisionmaking Visual odometry: Learn about visual odometry methods used for estimating a robot's position and movement using camera inputs Omnidirectional (360degree) camera: Understand the significance of 360degree cameras for enhanced robot perception and navigation Opensource robotics: Explore the world of opensource robotics software, tools, and platforms for creating customizable robotic systems Software map: Learn how to create and manage software maps for robotic systems, enhancing their efficiency and adaptability Robotics Toolbox for MATLAB: Get handson experience with the Robotics Toolbox for MATLAB, a powerful tool for modeling and simulating robots Cloud robotics: Understand the emerging field of cloud robotics and its potential to revolutionize robot collaboration, computation, and data sharing Margarita Chli: Gain insight into Margarita Chli's contributions to robotics, particularly in robot vision and artificial intelligence Jürgen Sturm: Explore Jürgen Sturm's work in the fields of visual perception, simultaneous localization, and mapping for mobile robots Flocking: Study the principles of flocking behavior in robotics, where robots mimic the coordinated movement patterns of animals This book is an invaluable tool that blends practical techniques with theoretical principles, making it an indispensable guide for those working in or studying the field of robotics. Whether you're programming your first robot or exploring advanced techniques in artificial intelligence, "Mobile Robot Programming Toolkit" provides the knowledge to take your work to the next level.
Embedded Robotics
Author: Thomas Bräunl
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-09-20
This book presents a unique examination of mobile robots and embedded systems, from introductory to intermediate level. It is structured in three parts, dealing with Embedded Systems (hardware and software design, actuators, sensors, PID control, multitasking), Mobile Robot Design (driving, balancing, walking, and flying robots), and Mobile Robot Applications (mapping, robot soccer, genetic algorithms, neural networks, behavior-based systems, and simulation). The book is written as a text for courses in computer science, computer engineering, IT, electronic engineering, and mechatronics, as well as a guide for robot hobbyists and researchers.
Mobile Robotics
Author: Ulrich Nehmzow
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Mobile Robotics: A Practical Introduction (2nd edition) is an excellent introduction to the foundations and methods used for designing completely autonomous mobile robots. A fascinating, cutting-edge, research topic, autonomous mobile robotics is now taught in more and more universities. In this book you are introduced to the fundamental concepts of this complex field via twelve detailed case studies that show how to build and program real working robots. Topics covered in clued learning, autonomous navigation in unmodified, noisy and unpredictable environments, and high fidelity robot simulation. This new edition has been updated to include a new chapter on novelty detection, and provides a very practical introduction to mobile robotics for a general scientific audience. It is essential reading for 2nd and 3rd year undergraduate students and postgraduate students studying robotics, artificial intelligence, cognitive science and robot engineering. The update and overview of core concepts in mobile robotics will assist and encourage practitioners of the field and set challenges to explore new avenues of research in this exiting field. The author is Senior Lecturer at the Department of Computer Science at the University of Essex. "A very fine overview over the relevant problems to be solved in the attempt to bring intelligence to a moving vehicle." Professor Dr. Ewald von Puttkamer, University of Kaiserslautern "Case studies show ways of achieving an impressive repertoire of kinds of learned behaviour, navigation and map-building. The book is an admirable introduction to this modern approach to mobile robotics and certainly gives a great deal of food for thought. This is an important and though-provoking book." Alex M. Andrew in Kybernetes Vol 29 No 4 and Robotica Vol 18