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ROS Simulation-Based Autonomous Navigation Systems and Object Detection

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Cyber Security, Privacy and Networking

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 370))

Abstract

Autonomous robots are becoming  popular and are being used in many industries, due to their autonomy features. They are just like humans who have the ability to make decisions on their own without any human help. As the need for such robots is increasing, our paper aims to present an ROS autonomous navigation software system for autonomous robots, which is capable of creating 2D and 3D maps of the Simulation environment, localizing the robot in that environment and further performing path planning of the robot along with object detection using ROS. Moreover, various algorithms used for creating maps along with detailed internal working of the packages used for path planning are being discussed in this paper.

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Author information

Authors and Affiliations

  1. Pimpri Chinchwad College of Engineering, Pune, Maharashtra, 411035, India

    Swati Shinde, Tanvi Mahajan, Suyash Khachane, Saurabh Kulkarni & Prasad Borle

Authors
  1. Swati Shinde
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  2. Tanvi Mahajan
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  3. Suyash Khachane
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  4. Saurabh Kulkarni
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  5. Prasad Borle
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Corresponding author

Correspondence to Swati Shinde .

Editor information

Editors and Affiliations

  1. University of Cincinnati, Cincinnati, OH, USA

    Dharma P. Agrawal

  2. State University of Rio de Janeiro, Rio de Janeiro, Brazil

    Nadia Nedjah

  3. Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan

    B. B. Gupta

  4. University of Murcia, Murcia, Spain

    Gregorio Martinez Perez

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Shinde, S., Mahajan, T., Khachane, S., Kulkarni, S., Borle, P. (2022). ROS Simulation-Based Autonomous Navigation Systems and Object Detection. In: Agrawal, D.P., Nedjah, N., Gupta, B.B., Martinez Perez, G. (eds) Cyber Security, Privacy and Networking. Lecture Notes in Networks and Systems, vol 370. Springer, Singapore. https://doi.org/10.1007/978-981-16-8664-1_4

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  • DOI: https://doi.org/10.1007/978-981-16-8664-1_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8663-4

  • Online ISBN: 978-981-16-8664-1

  • eBook Packages: EngineeringEngineering (R0)

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