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Learning Obstacle-Avoiding Lattice Paths using Swarm Heuristics: Exploring the Bijection to Ordered Trees

arXiv 2209.05187 ↗First posted 12 Sep 2022cs.RO cs.AI cs.DMcited by 0

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Abstract (arXiv)

Lattice paths are functional entities that model efficient navigation in discrete/grid maps. This paper presents a new scheme to generate collision-free lattice paths with utmost efficiency using the bijective property to rooted ordered trees, rendering a one-dimensional search problem. Our computational studies using ten state-of-the-art and relevant nature-inspired swarm heuristics in navigation scenarios with obstacles with convex and non-convex geometry show the practical feasibility and efficiency in rendering collision-free lattice paths. We believe our scheme may find use in devising fast algorithms for planning and combinatorial optimization in discrete maps.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 41 references that are in the map. First posted on arXiv 12 Sep 2022.

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References · 1

  1. 2020An Efficient Scheme for the Generation of Ordered Trees in Constant Amortized Timecited by 1

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