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Robot Operating System (ROS): The Complete Reference (Volume 2)May 2017
Publisher:
  • Springer Publishing Company, Incorporated
ISBN:978-3-319-54926-2
Published:27 May 2017
Pages:
655
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Abstract

This second volume is a continuation of the successful first volume of this Springer book, and as well as addressing broader topics it puts a particular focus on unmanned aerial vehicles (UAVs) with Robot Operating System (ROS). Consisting of three types of chapters: tutorials, cases studies, and research papers, it provides comprehensive additional material on ROS and the aspects of developing robotics systems, algorithms, frameworks, and applications with ROS. ROS is being increasingly integrated in almost all kinds of robots and is becoming the de-facto standard for developing applications and systems for robotics. Although the research community is actively developing applications with ROS and extending its features, amount of literature references is not representative of the huge amount of work being done. The book includes 19 chapters organized into six parts: Part 1 presents the control of UAVs with ROS, while in Part 2, three chapters deal with control of mobile robots. Part 3 provides recent work toward integrating ROS with Internet, cloud and distributed systems. Part 4 offers five case studies of service robots and field experiments. Part 5 presents signal-processing tools for perception and sensing, and lastly, Part 6 introduces advanced simulation frameworks. The diversity of topics in the book makes it a unique and valuable reference resource for ROS users, researchers, learners and developers.

Cited By

  1. ACM
    Ayerdi J, Iriarte A, Valle P, Roman I, Illarramendi M and Arrieta A (2024). MarMot: Metamorphic Runtime Monitoring of Autonomous Driving Systems, ACM Transactions on Software Engineering and Methodology, 34:1, (1-35), Online publication date: 31-Jan-2025.
  2. Mu Y, Chen J, Zhang Q, Chen S, Yu Q, GE C, Chen R, Liang Z, Hu M, Tao C, Sun P, Yu H, Yang C, Shao W, Wang W, Dai J, Qiao Y, Ding M and Luo P RoboCodeX Proceedings of the 41st International Conference on Machine Learning, (36434-36454)
  3. Pueyo P, Dendarieta J, Montijano E, Murillo A and Schwager M (2024). CineMPC: A Fully Autonomous Drone Cinematography System Incorporating Zoom, Focus, Pose, and Scene Composition, IEEE Transactions on Robotics, 40, (1740-1757), Online publication date: 1-Jan-2024.
  4. Meli D, Nakawala H and Fiorini P (2023). Logic programming for deliberative robotic task planning, Artificial Intelligence Review, 56:9, (9011-9049), Online publication date: 1-Sep-2023.
  5. Alajami A, Palau N, Lopez-Soriano S and Pous R (2023). A ROS-based distributed multi-robot localization and orientation strategy for heterogeneous robots, Intelligent Service Robotics, 16:2, (177-193), Online publication date: 1-Apr-2023.
  6. ACM
    Wan Z, Swaminathan K, Chen P, Chandramoorthy N and Raychowdhury A Analyzing and Improving Resilience and Robustness of Autonomous Systems Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, (1-9)
  7. Sayour M, Kozhaya S, Saab S and Wang W (2022). Autonomous Robotic Manipulation, Journal of Robotics, 2022, Online publication date: 1-Jan-2022.
  8. Zema N, Quadri D, Martin S and Shrit O Formation control of a mono-operated UAV fleet through ad-hoc communications: a Q-learning approach 2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), (1-6)
  9. Kandlhofer M, Steinbauer G, Menzinger M, Halatschek R, Kemény F and Landerl K MINT-Robo: Empowering Gifted High School Students with Robotics 2019 IEEE Frontiers in Education Conference (FIE), (1-5)
Contributors
  • Prince Sultan University
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