• Contact

  • Newsletter

  • About us

  • Delivery options

  • Prospero Book Market Podcast

  • News

  • 0
    A Concise Introduction to Robot Programming with ROS2

    A Concise Introduction to Robot Programming with ROS2 by Rico, Francisco Martín;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 44.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        22 769 Ft (21 685 Ft + 5% VAT)
      • Discount 20% (cc. 4 554 Ft off)
      • Discounted price 18 215 Ft (17 348 Ft + 5% VAT)

    22 769 Ft

    db

    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    A Concise Introduction to Robot Programming with ROS2 provides the reader with the concepts and tools necessary to bring a robot to life through programming. It will equip the reader with the skills necessary to undertake projects in ROS2, the new version of ROS.

    More

    Long description:

    A Concise Introduction to Robot Programming with ROS2 provides the reader with the concepts and tools necessary to bring a robot to life through programming. It will equip the reader with the skills necessary to undertake projects with ROS2, the new version of ROS. It is not necessary to have previous experience with ROS2 as it will describe its concepts, tools, and methodologies from the beginning.


    Key Features



    • Uses the two programming languages officially supported in ROS2 (C++, mainly, and Python)

    • Approaches ROS2 from three different but complementary dimensions: the Community, Computation Graph, and the Workspace

    • Includes a complete simulated robot, development and testing strategies, Behavior Trees, and Nav2 description, setup, and use

    • A GitHub repository with code to assist readers

    It will appeal to motivated engineering students, engineers, and professionals working with robot programming.

    More

    Table of Contents:

    List of Figures


    List of Tables


    Introduction


    First Steps First Behavior: Avoiding Obstacles with Finite States Machines


    The TF Subsystem


    Reactive Behaviors


    Programming Robot Behaviors with Behavior Trees


    Appendix: Source Code


    Bibliography

    More
    Recently viewed
    previous
    A Concise Introduction to Robot Programming with ROS2

    A Concise Introduction to Robot Programming with ROS2

    Rico, Francisco Martín;

    22 769 HUF

    Signal Processing Methods in EEG Based Brain?Computer Interfaces

    Signal Processing Methods in EEG Based Brain?Computer Interfaces

    Molina, Gary Garcia;

    39 222 HUF

    Bayesian Statistical Modeling with Stan, R, and Python

    Bayesian Statistical Modeling with Stan, R, and Python

    Matsuura, Kentaro;

    68 079 HUF

    From Operator Theory to Orthogonal Polynomials, Combinatorics, and Number Theory: A Volume in Honor of Lance Littlejohn's 70th Birthday

    From Operator Theory to Orthogonal Polynomials, Combinatorics, and Number Theory: A Volume in Honor of Lance Littlejohn's 70th Birthday

    Gesztesy, Fritz; Martinez-Finkelshtein, Andrei; (ed.)

    59 001 HUF

    Spreadsheet Problem Solving and Programming for Engineers and Scientists

    Spreadsheet Problem Solving and Programming for Engineers and Scientists

    Clough, David E.; Chapra, Steven C.;

    50 610 HUF

    Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis

    Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis

    Roy, Sangita; Subhra Chakraborty, Rajat; Mathew, Jimson;(ed.)

    55 671 HUF

    Microsoft Excel VBA and Macros (Office 2021 and Microsoft 365)

    Microsoft Excel VBA and Macros (Office 2021 and Microsoft 365)

    Jelen, Bill

    17 478 HUF

    Functional Estimation For Density, Regression Models And Processes (Second Edition)

    Functional Estimation For Density, Regression Models And Processes (Second Edition)

    Pons, Odile;

    40 488 HUF

    Applied Meta-Analysis with R and Stata

    Applied Meta-Analysis with R and Stata

    Chen, Ding-Geng (Din); Peace, Karl E.;

    65 793 HUF

    Material Handling and Production Systems Modelling - based on Queuing Models: Queuing networks applied to material handling and production systems

    Material Handling and Production Systems Modelling - based on Queuing Models: Queuing networks applied to material handling and production systems

    Furmans, Kai;

    27 212 HUF

    next