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Environment Recognition for Path Generation in Autonomous Mobile Robots

  • Ulises Orozco-Rosas
  • Kenia Picos
  • Oscar MontielEmail author
  • Oscar Castillo
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 827)

Abstract

An efficient algorithm for path generation in autonomous mobile robots using a visual recognition approach is presented. The proposal includes image filtering techniques by employing an inspecting camera to sense a cluttered environment. Template matching filters are used to detect several environment elements, such as obstacles, feasible terrain, the target location, and the mobile robot. The proposed algorithm includes the parallel evolutionary artificial potential field to perform the path planning for autonomous navigation of the mobile robot. Our problem to be solved for autonomous navigation is to safely take a mobile robot from the starting point to the target point employing the path with the shortest distance and which also contains the safest route. To find the path that satisfies this condition, the proposed algorithm chooses the best candidate solution from a vast number of different paths calculated concurrently. For achieving efficient autonomous navigation, the proposal employs a parallel computation approach for the evolutionary artificial potential field algorithm for path generation and optimization. Experimental results yield accuracy in environment recognition in terms of quantitative metrics. The proposed algorithm demonstrates efficiency in path generation and optimization.

Keywords

Parallel evolutionary artificial potential field Path planning Mobile robots Template matching Object recognition 

Notes

Acknowledgements

This work was supported in part by the Coordinación de Investigación of CETYS Universidad, in part by the Consejo Nacional de Ciencia y Tecnología (CONACYT, Mexico).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ulises Orozco-Rosas
    • 1
  • Kenia Picos
    • 1
  • Oscar Montiel
    • 2
    Email author
  • Oscar Castillo
    • 3
  1. 1.CETYS Universidad, Centro de Innovación y Diseño (CEID)TijuanaMexico
  2. 2.Instituto Politécnico Nacional, CITEDI-IPNTijuanaMexico
  3. 3.Tecnológico Nacional de México, Calzada Del Tecnológico S/N, Tomas AquinoTijuanaMexico

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