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Intelligent Autonomous Navigation of Robot KUKA YouBot

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Intelligent Systems and Applications (IntelliSys 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1038))

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Abstract

We report the successful integration of deep learning approach for autonomous robot KUKA YouBot navigation. The incorporation of deep learning approach was carried out through the combination among Robot Operating System, Python software and Open Source Computer Vision Library working environments. The Robot Operating System with Hydro medusa distribution provides the managing of odometry, kinematics and path planning nodes. The combination of all nodes allows the simulation of the autonomous robot navigation by using Gazebo and provides the implementation of the algorithms in simulated and real platforms. Python software improves the communication tasks taking advantage of data processing tools in the deep learning process. Then, Open Source Computer Vision Library allows the integration of the deep learning approach by using the Single Shot Detector algorithm which provides robustness in velocity and precision which mainly allows the human detection by using a trained neuronal network. The integration of Robot Operating System, Python software and Open Source Computer Vision Library is a promising architecture for providing smart autonomous navigation capability for different applications like: social robots, human rescue, precision farming, industry and so on.

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Acknowledgment

The authors thank the Technical University of Ambato and the “Dirección de Investigación y Desarrollo” (DIDE) for their support in carrying out this research, in the execution of the project “Plataforma Móvil Omnidireccional KUKA dotada de Inteligencia Artificial utilizando estrategias de Machine Learnig para Navegación Segura en Espacios no Controlados”, project code: PFISEI27.

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Authors and Affiliations

  1. Facultad de Ingeniería en Sistemas, Electrónica e Industrial, Universidad Técnica de Ambato, Ambato, 180150, Ecuador

    Carlos Gordón, Patricio Encalada, Henry Lema, Diego León, Cristhian Castro & Dennis Chicaiza

Authors
  1. Carlos Gordón
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  2. Patricio Encalada
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  3. Henry Lema
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  4. Diego León
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  5. Cristhian Castro
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  6. Dennis Chicaiza
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Corresponding authors

Correspondence to Carlos Gordón , Patricio Encalada , Henry Lema , Diego León , Cristhian Castro or Dennis Chicaiza .

Editor information

Editors and Affiliations

  1. School of Computing, Computer Science Research Institute, Ulster University, Newtownabbey, UK

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

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Gordón, C., Encalada, P., Lema, H., León, D., Castro, C., Chicaiza, D. (2020). Intelligent Autonomous Navigation of Robot KUKA YouBot. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-29513-4_70

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