Modified 2-Way Wavefront (M2W) Algorithm for Efficient Path Planning

In this paper modified 2-way wavefront algorithm(M2W) is introduced for the discretized path planning problem. The proposed scheme uses the Glasius model, wavefront navigational function, and adaptation of Artificial Potential Fields (APF) for effective obstacle avoidance. Unlike the APF, it does no...

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Main Authors: Ayesha Maqbool, Alina Mirza, Farkhanda Afzal
Format: Article
Language:English
Published: Springer 2021-03-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/125954090/view
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author Ayesha Maqbool
Alina Mirza
Farkhanda Afzal
author_facet Ayesha Maqbool
Alina Mirza
Farkhanda Afzal
author_sort Ayesha Maqbool
collection DOAJ
description In this paper modified 2-way wavefront algorithm(M2W) is introduced for the discretized path planning problem. The proposed scheme uses the Glasius model, wavefront navigational function, and adaptation of Artificial Potential Fields (APF) for effective obstacle avoidance. Unlike the APF, it does not suffer from local minima, and it addresses the shortcoming of the navigational method by generating paths that are not “too close” to obstacles. Furthermore, compared to the Glasius model, M2W's computation time is significantly reduced, especially in a complex workspace with a higher density of obstacles. The proposed algorithm is also simulated with an additional set of planning constraints to demonstrate the adaptability of the M2W for constraint planning problems.
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spelling doaj.art-e36fe8ece509440897116177c03be1372022-12-22T02:56:37ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832021-03-0114110.2991/ijcis.d.210305.002Modified 2-Way Wavefront (M2W) Algorithm for Efficient Path PlanningAyesha MaqboolAlina MirzaFarkhanda AfzalIn this paper modified 2-way wavefront algorithm(M2W) is introduced for the discretized path planning problem. The proposed scheme uses the Glasius model, wavefront navigational function, and adaptation of Artificial Potential Fields (APF) for effective obstacle avoidance. Unlike the APF, it does not suffer from local minima, and it addresses the shortcoming of the navigational method by generating paths that are not “too close” to obstacles. Furthermore, compared to the Glasius model, M2W's computation time is significantly reduced, especially in a complex workspace with a higher density of obstacles. The proposed algorithm is also simulated with an additional set of planning constraints to demonstrate the adaptability of the M2W for constraint planning problems.https://www.atlantis-press.com/article/125954090/viewRobotic path planningSafe path generationWavefront algorithmsSelf-organizing mapsArtificial potential fieldsNavigational function
spellingShingle Ayesha Maqbool
Alina Mirza
Farkhanda Afzal
Modified 2-Way Wavefront (M2W) Algorithm for Efficient Path Planning
International Journal of Computational Intelligence Systems
Robotic path planning
Safe path generation
Wavefront algorithms
Self-organizing maps
Artificial potential fields
Navigational function
title Modified 2-Way Wavefront (M2W) Algorithm for Efficient Path Planning
title_full Modified 2-Way Wavefront (M2W) Algorithm for Efficient Path Planning
title_fullStr Modified 2-Way Wavefront (M2W) Algorithm for Efficient Path Planning
title_full_unstemmed Modified 2-Way Wavefront (M2W) Algorithm for Efficient Path Planning
title_short Modified 2-Way Wavefront (M2W) Algorithm for Efficient Path Planning
title_sort modified 2 way wavefront m2w algorithm for efficient path planning
topic Robotic path planning
Safe path generation
Wavefront algorithms
Self-organizing maps
Artificial potential fields
Navigational function
url https://www.atlantis-press.com/article/125954090/view
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