Modified 2-Way Wavefront (M2W) Algorithm for Efficient Path Planning
- DOI
- 10.2991/ijcis.d.210305.002How to use a DOI?
- Keywords
- Robotic path planning; Safe path generation; Wavefront algorithms; Self-organizing maps; Artificial potential fields; Navigational function; Glasius model
- Abstract
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.
- Copyright
- © 2021 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Ayesha Maqbool AU - Alina Mirza AU - Farkhanda Afzal PY - 2021 DA - 2021/03/15 TI - Modified 2-Way Wavefront (M2W) Algorithm for Efficient Path Planning JO - International Journal of Computational Intelligence Systems SP - 1066 EP - 1077 VL - 14 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.210305.002 DO - 10.2991/ijcis.d.210305.002 ID - Maqbool2021 ER -