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Wavefront expansion algorithm

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This is an old revision of this page, as edited by ManuelRodriguez (talk | contribs) at 13:04, 28 January 2020 (Expand the draft article with pictures, more keypoints and an additional literature reference. The wavefront expansion is an improved version of the potential field algorithm.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
Pathfinding
Path planning is realized with propagating wavefronts
Breadth First Search Algorithm
Breadth-First-Search-Algorithm

Motivation

  • sampling based motion planner
  • pathplanner for determine the shorted path between start and goal
  • commonly used in robotics [1]

Key points

  • Wavefront algorithm = BFS (Breadth First Search) [2]
  • grid map is generated which includes directions for robot

Heuristics

  • it's a heuristics to speed up search in the graph
  • wavefront expansion to avoid local minima

Potential field

  • similar to potential field [3]
  • numerical potential field
  • Artificial Potential Field
  • Wavefront numerical potential field
  • wavefront expansion is a specialized potential field pathplanner [4]
  • potential field is drawn into the map, the robot follows the lowest values of the field

References

  1. ^ Chytra Pawashe and Metin Sitti (2006). "Two-dimensional vision-based autonomous microparticle manipulation using a nanoprobe". Journal of Micromechatronics. 3 (3). Brill: 285–306. doi:10.1163/156856306777924671.
  2. ^ Simonin, Olivier and Charpillet, Francois and Thierry, Eric (2007). "Collective construction of numerical potential fields for the foraging problem". Research Report RR-6171, Inria-00143302v1.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  3. ^ Miraglia, Giovanni and Hook, IV (2019). "A Feedback Motion Plan for Vehicles with Bounded Curvature Constraints". arXiv:1910.06460.{{cite arXiv}}: CS1 maint: multiple names: authors list (link)
  4. ^ Soulignac, Michael and Taillibert, Patrick (2006). Fast trajectory planning for multiple site surveillance through moving obstacles and wind. Proceedings of the Workshop of the UK Planning and Scheduling Special Interest Group. pp. 25--33.{{cite conference}}: CS1 maint: multiple names: authors list (link)