Mobile Robot Programming Toolkit
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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.
Simulation, Modeling, and Programming for Autonomous Robots
This book constitutes the refereed proceedings of the 4th International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2014, held in Bergamo, Italy, in October 2014. The 49 revised full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on simulation, modeling, programming, architectures, methods and tools, and systems and applications.
Simulation, Modeling, and Programming for Autonomous Robots
Why are the many highly capable autonomous robots that have been promised for novel applications driven by society, industry, and research not available - day despite the tremendous progress in robotics science and systems achieved during the last decades? Unfortunately, steady improvements in speci?c robot abilities and robot hardware have not been matched by corresponding robot performance in real world environments. This is mainly due to the lack of - vancements in robot software that master the development of robotic systems of ever increasing complexity. In addition, fundamental open problems are still awaiting sound answers while the development of new robotics applications s- fersfromthelackofwidelyusedtools,libraries,andalgorithmsthataredesigned in a modular and performant manner with standardized interfaces. Simulation environments are playing a major role not only in reducing development time and cost, e. g. , by systematic software- or hardware-in-the-loop testing of robot performance, but also in exploring new types of robots and applications. H- ever,their use may still be regardedwith skepticism. Seamless migrationof code using robot simulators to real-world systems is still a rare circumstance, due to the complexity of robot, world, sensor, and actuator modeling. These challenges drive the quest for the next generation of methodologies and tools for robot development. The objective of the International Conference on Simulation, Modeling, and ProgrammingforAutonomous Robots (SIMPAR) is to o?er a unique forum for these topics and to bring together researchersfrom academia and industry to identify and solve the key issues necessary to ease the development of increasingly complex robot software.