ROS Programming: Building Powerful Robots: Design, build and simulate complex robots using the Robot Operating System

Aaron Martinez

Luis Sanchez

Enrique Fernandez Perdomo

Anil Mahtani

Lentin Joseph +1 more

$9.99 ~~$79.99~~

eBook Mar 2018 1st Edition

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Key benefits

? Successfully design and simulate your 3D robot model and use powerful algorithms and tools to program and set up your robots

? Work through concrete examples that will help you build your own robotic systems of varying complexity levels

? Discover the best practices and troubleshooting solutions everyone needs when working on ROS

Description

This learning path is designed to help you program and build your robots using open source ROS libraries and tools. We start with the installation and basic concepts, then continue with the more complex modules available in ROS, such as sensor and actuator integration (drivers), navigation and mapping (so you can create an autonomous mobile robot), manipulation, computer vision, perception in 3D with PCL, and more. We then discuss advanced concepts in robotics and how to program using ROS. You'll get a deep overview of the ROS framework, which will give you a clear idea of how ROS really works. During the course of the book, you will learn how to build models of complex robots, and simulate and interface the robot using the ROS MoveIt motion planning library and ROS navigation stacks. We'll go through great projects such as building a self-driving car, an autonomous mobile robot, and image recognition using deep learning and ROS. You can find beginner, intermediate, and expert ROS robotics applications inside! It includes content from the following Packt products: ? Effective Robotics Programming with ROS - Third Edition ? Mastering ROS for Robotics Programming ? ROS Robotics Projects

Who is this book for?

This course targets robotic enthusiasts, developers, and researchers who would like to build robot applications using ROS. If you are looking to explore the advanced ROS features in your projects, then this learning path is for you. Basic knowledge of ROS, GNU/Linux, and programming concepts is assumed.

What you will learn

• Understand the concepts of ROS,

the command-line tools, visualization

GUIs, and how to debug ROS

• Connect robot sensors and actuators

to ROS

• Obtain and analyze data from

cameras and 3D sensors

• Dig deep into the ROS Pluginlib,

ROS nodelets, and Gazebo plugins

• Interface I/O boards such as Arduino,

robot sensors, and high-end actuators

with ROS

• Get to grips with teleoperating robots

using hand gestures

• Build ROS-based applications using

Matlab and Android

• Build interactive applications

using TurtleBot

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

About the 5 authors

Aaron Martinez

Aaron Martinez is a computer engineer, entrepreneur, and expert in digital fabrication. He did his master's thesis in 2010 at the IUCTC (Instituto Universitario de Ciencias y Tecnologias Ciberneticas) in the University of Las Palmas de Gran Canaria. He prepared his master's thesis in the field of telepresence using immersive devices and robotic platforms. After completing his academic career, he attended an internship program at The Institute for Robotics in the Johannes Kepler University in Linz, Austria. During his internship program, he worked as part of a development team of a mobile platform using ROS and the navigation stack. After that, he was involved in some projects related to robotics; one of them is the AVORA project in the University of Las Palmas de Gran Canaria. In this project, he worked on the creation of an AUV to participate in the Student Autonomous Underwater Challenge-Europe (SAUC-E) in Italy. In 2012, he was responsible for manufacturing this project; in 2013, he helped to adapt the navigation stack and other algorithms from ROS to the robotic platform. Recently, Aaron created his own company named SubSeaMechatronics, SL. This company works with projects related with underwater robotics and telecontrol systems. They are also designing and manufacturing subsea sensors. The company manufactures devices for other companies and research and development institutes. Aaron has experience in many fields, such as programming, robotics, mechatronics, and digital fabrication as well as many devices, such as Arduino, BeagleBone, Servers, and LIDAR, and nowadays he is designing in SubSeaMechatronics SL some robotics platforms for underwater and aerial environments.

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Luis Sanchez

Luis Snchez has completed his dual master's degree in electronics and telecommunication engineering at the University of Las Palmas de Gran Canaria. He has collaborated with different research groups as the Institute for Technological Development and Innovation (IDETIC), the Oceanic Platform of Canary Islands (PLOCAN), and the Institute of Applied Microelectronics (IUMA) where he actually researches on imaging super-resolution algorithms. His professional interests lie in Computer Vision, signal processing, and electronic design applied on robotics systems. For this reason, he joined the AVORA team, a group of young engineers and students working on the development of Underwater Autonomous Vehicles (AUV) from scratch. Inside this project, Luis has started developing acoustic and Computer Vision systems, extracting information from different sensors such as hydrophones, sonar, or camera. With a strong background gained in marine technology, Luis cofounded Subsea Mechatronics, a young start-up, where he works on developing remotely operated and autonomous vehicles for underwater environments. Here's what Dario Sosa Cabrera, a marine technologies engineer and entrepreneur (and the cofounder and maker of LPA Fabrika: Gran Canaria Maker Space) has to say about Luis: "He is very enthusiastic and an engineer in multiple disciplines. He is responsible for his work. He can manage himself and can take up responsibilities as a team leader, as demonstrated at the euRathlon competition. His background in electronics and telecommunications allows him to cover a wide range of expertise from signal processing and software, to electronic design and fabrication." Luis has participated as a technical reviewer of the previous version of Learning ROS for Robotics Programming and as a cowriter of the second edition.

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Enrique Fernandez Perdomo

Enrique Fernandez Perdomo has a PhD in Computer Engineer from the ULPGC. In his PhD thesis, he investigated path planning algorithms for Autonomous Underwater Gliders, and did an internship at the CIRS/VICOROB research group at the University of Girona. He also worked with ground robots and is currently a senior Robotics Engineer in the Autonomy Team at Clearpath Robotics since 2015. He was a member of the navigation department at PAL Robotics since 2013. He has good programming skills in C++ and Python, and develops wheeled controllers, a tele-operation infrastructure for both the wheeled and biped robots (REEM and REEM-C), SLAM algorithms, laser and visual localization, and autonomous navigation based on the ROS navigation stack. Finally, he worked on the project that develop a low-cost mobile base for high payload and retail applications, which is used on the TiaGo robot. Now at Clearpath Robotics, he works on SLAM and localization algorithms and has participated in the OTTO project.

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Anil Mahtani

Anil Mahtani is a computer scientist who has dedicated an important part of his career to underwater robotics. He first started working in the field with his master thesis, where he developed a software architecture for a low-cost ROV. During the development of his thesis, he also became the team leader and lead developer of AVORA, a team of university students that designed and developed an autonomous underwater vehicle for the Students Autonomous Underwater Challenge Europe (SAUC-E) in 2012. That same year, Anil Mahtani completed his thesis and his MSc in Computer Science at the University of Las Palmas de Gran Canaria and then became a Software Engineer at SeeByte Ltd, a world leader in smart software solutions for underwater systems. In 2015, he joined Dell Secureworks as a Software Engineer, where he applies his knowledge and skills toward developing intrusion detection and prevention systems. During his time at SeeByte Ltd, Anil Mahtani played a key role in the development of several semi-autonomous and autonomous underwater systems for the military and oil and gas industries. In those projects, he was heavily involved in the development of autonomy systems, the design of distributed software architectures, and low-level software development and also contributed in providing Computer Vision solutions for front-looking sonar imagery. At SeeByte Ltd, he also achieved the position of project manager, managing a team of engineers developing and maintaining the internal core C++ libraries. His professional interests lie mainly in software engineering, algorithms, data structures, distributed systems, networks, and operating systems. Anil's main role in robotics is to provide efficient and robust software solutions, addressing not only the current problems at hand but also foreseeing future problems or possible enhancements. Given his experience, he is also an asset when dealing with Computer Vision, machine learning, or control problems. Anil has also interests in DIY and electronics, and he has developed several Arduino libraries, which he has contributed back to the community.

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Lentin Joseph

Lentin Joseph is an accomplished Indian roboticist, author, entrepreneur, and educator with over a decade of expertise in robotics software development, machine vision, and artificial intelligence. He is the founder and CTO of RUNTIME Robotics Pvt Ltd, an Indian company focused on R&D in robotics software development and artificial intelligence. He also runs robocademy, an online platform for robotics education. With strong proficiency in ROS, OpenCV, and PCL, Lentin has authored 10 widely acclaimed books on robotics, including Learning Robotics Using Python and Mastering ROS for Robotics Programming. He holds a bachelor's degree in Electronics and Communication Engineering from FISAT and a master's in Robotics and Automation from Amrita University. During his studies, he developed a gesture- and speech-interactive social robot that gained media attention. Lentin has also conducted research at Carnegie Mellon University's Robotics Institute, delivered a TEDx talk, and actively contributes to robotics education through workshops, blogs, and training programs.

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ROS Programming: Building Powerful Robots: Design, build and simulate complex robots using the Robot Operating System

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