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Machine Learning and Robot Perception pp 137–165Cite as

Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 7))

Abstract

In the last years, one of the main challenges in robotics is to endow the robots with a grade of intelligence in order to allow them to extract information from the environment and use that knowledge to carry out their tasks safely. The intelligence allows the robots to improve their survival in the real world. Two main characteristics that every intelligent system must have are [1]:

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Authors and Affiliations

  1. Mechanical Engineering Department, Carlos III University, Avd. de la Universidad, 30. 28911. Leganes, Madrid, Spain

    Ma Jesús López Boada

  2. System Engineering and Automation Department, Carlos III University, Avd. de la Universidad, 30. 28911. Leganes, Madrid, Spain

    Ramón Barber & Miguel Ángel Salichs

  3. Computer Systems and Automation Department, European University of Madrid, 28670. Villaviciosa de Odón, Madrid, Spain

    Verónica Egido

Authors
  1. Ma Jesús López Boada
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  2. Ramón Barber
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  3. Verónica Egido
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  4. Miguel Ángel Salichs
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Editor information

Bruno Apolloni Ashish Ghosh Ferda Alpaslan Lakhmi C. Jain Srikanta Patnaik

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López Boada, M., Barber, R., Egido, V., Ángel Salichs, M. Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot. In: Apolloni, B., Ghosh, A., Alpaslan, F., C. Jain, L., Patnaik, S. (eds) Machine Learning and Robot Perception. Studies in Computational Intelligence, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504634_4

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  • DOI: https://doi.org/10.1007/11504634_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26549-8

  • Online ISBN: 978-3-540-32409-6

  • eBook Packages: EngineeringEngineering (R0)

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