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Robot Operating System (ROS)

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Cover of 'Robot Operating System (ROS)'

Table of Contents

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    Book Overview
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    Chapter 1 A ROS-Based Framework for Simulation and Benchmarking of Multi-robot Patrolling Algorithms
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    Chapter 2 Multi-robot Systems, Virtual Reality and ROS: Developing a New Generation of Operator Interfaces
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    Chapter 3 Autonomous Exploration and Inspection Path Planning for Aerial Robots Using the Robot Operating System
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    Chapter 4 A Generic ROS Based System for Rapid Development and Testing of Algorithms for Autonomous Ground and Aerial Vehicles
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    Chapter 5 ROS-Based Approach for Unmanned Vehicles in Civil Applications
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    Chapter 6 A Quadcopter and Mobile Robot Cooperative Task Using Visual Tags Based on Augmented Reality ROS Package
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    Chapter 7 EXOTica: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control
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    Chapter 8 Online Trajectory Optimization and Navigation in Dynamic Environments in ROS
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    Chapter 9 A Backstepping Non-smooth Controller for ROS-Based Differential-Drive Mobile Robots
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    Chapter 10 University Rover Challenge: Tutorials and Team Survey
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    Chapter 11 SROS1: Using and Developing Secure ROS1 Systems
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    Chapter 12 GPU and ROS the Use of General Parallel Processing Architecture for Robot Perception
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    Chapter 13 Connecting ROS and FIWARE: Concepts and Tutorial
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    Chapter 14 Enabling Real-Time Processing for ROS2 Embedded Systems
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    Chapter 15 bum_ros : Distributed User Modelling for Social Robots Using ROS
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    Chapter 16 ROSRemote: Using ROS on Cloud to Access Robots Remotely
Attention for Chapter 7: EXOTica: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control
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Citations

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Chapter title
EXOTica: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control
Chapter number 7
Book title
Robot Operating System (ROS)
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-91590-6_7
Book ISBNs
978-3-31-991589-0, 978-3-31-991590-6
Authors

Vladimir Ivan, Yiming Yang, Wolfgang Merkt, Michael P. Camilleri, Sethu Vijayakumar, Ivan, Vladimir, Yang, Yiming, Merkt, Wolfgang, Camilleri, Michael P., Vijayakumar, Sethu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Researcher 3 17%
Student > Doctoral Student 2 11%
Student > Master 2 11%
Other 2 11%
Other 0 0%
Unknown 2 11%
Readers by discipline Count As %
Engineering 9 50%
Computer Science 6 33%
Unknown 3 17%