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Control of Robot Using Neural Networks

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Proceedings of International Conference on Communication and Networks

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 508))

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Abstract

The paper deals with motion control of autonomous robot. For an autonomous robot the main functionality which is to be implemented is its movement. The robot should be able to move from source to destination successfully avoiding all the obstacles in a known or unknown environment. This paper explains in detail 3 approaches for the motion control: (1) Neural Network where the problem is divided into sub problems FindSpace and FindPath (2) ANFIS (Adaptive Neuro-Fuzzy Inference System) where 6 layers are present (3) Fuzzy Logic along with neural network. Some simulation results are given which shows that Neural Network and fuzzy logic together gives better performance than Neural Network and fuzzy logic alone.

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References

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Author information

Authors and Affiliations

  1. Computer Engineering Department, Mukesh Patel School of Technology Management & Engineering, NMIMS University, Mumbai, India

    Nikhil Nagori, Sagar Nandu & Alpa Reshamwala

Authors
  1. Nikhil Nagori
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  2. Sagar Nandu
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  3. Alpa Reshamwala
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Corresponding author

Correspondence to Nikhil Nagori .

Editor information

Editors and Affiliations

  1. Narsinhbhai Inst. of Comp. Stud. & Mngmt, Professor and Head Narsinhbhai Inst. of Comp. Stud. & Mngmt, Kadi, Mehsana, Gujarat, India

    Nilesh Modi

  2. The University of Oklahoma, Director, Telecommunication Engineering The University of Oklahoma, Norman, Oklahoma, Oklahoma, USA

    Pramode Verma

  3. GLS University, Dean & Faculty of Computer Technology GLS University, Ahmedabad, Gujarat, India

    Bhushan Trivedi

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© 2017 Springer Nature Singapore Pte Ltd.

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Nagori, N., Nandu, S., Reshamwala, A. (2017). Control of Robot Using Neural Networks. In: Modi, N., Verma, P., Trivedi, B. (eds) Proceedings of International Conference on Communication and Networks. Advances in Intelligent Systems and Computing, vol 508. Springer, Singapore. https://doi.org/10.1007/978-981-10-2750-5_12

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  • DOI: https://doi.org/10.1007/978-981-10-2750-5_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2749-9

  • Online ISBN: 978-981-10-2750-5

  • eBook Packages: EngineeringEngineering (R0)

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