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    Learning ROS for Robotics Programming. Take control of the Linux based Robot Operating System, and discover the tools, libraries, and conventions you need to create your own robots without the hassle

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Autorzy:
    Aaron M Romero, Anil Mahtani, Aaron Martinez, Luis Sánchez, Enrique Fernandez Perdomo
    Learning ROS for Robotics Programming. Take control of the Linux based Robot Operating System, and discover the tools, libraries, and conventions you need to create your own robots without the hassle Aaron M Romero, Anil Mahtani, Aaron Martinez, Luis Sánchez, Enrique Fernandez Perdomo - okladka książki

    Learning ROS for Robotics Programming. Take control of the Linux based Robot Operating System, and discover the tools, libraries, and conventions you need to create your own robots without the hassle Aaron M Romero, Anil Mahtani, Aaron Martinez, Luis Sánchez, Enrique Fernandez Perdomo - okladka książki

    Learning ROS for Robotics Programming. Take control of the Linux based Robot Operating System, and discover the tools, libraries, and conventions you need to create your own robots without the hassle Aaron M Romero, Anil Mahtani, Aaron Martinez, Luis Sánchez, Enrique Fernandez Perdomo - audiobook MP3

    Learning ROS for Robotics Programming. Take control of the Linux based Robot Operating System, and discover the tools, libraries, and conventions you need to create your own robots without the hassle Aaron M Romero, Anil Mahtani, Aaron Martinez, Luis Sánchez, Enrique Fernandez Perdomo - audiobook CD

    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
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    Stron:
    458
    Dostępne formaty:
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    Ebook (29,90 zł najniższa cena z 30 dni)

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    O autorach książki

    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.
    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.
    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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