ROLGAug 19, 2023

Securing Pathways with Orthogonal Robots

arXiv:2308.10093v14 citationsh-index: 11
Originality Incremental advance
AI Analysis

This addresses security and surveillance challenges in domains like urban planning and transportation, but is incremental as it focuses on a specific case (pathways) while the general problem is NP-hard.

The paper tackles the problem of efficiently guarding orthogonal pathways with the minimum number of orthogonal robots, demonstrating that this can be solved in linear time.

The protection of pathways holds immense significance across various domains, including urban planning, transportation, surveillance, and security. This article introduces a groundbreaking approach to safeguarding pathways by employing orthogonal robots. The study specifically addresses the challenge of efficiently guarding orthogonal areas with the minimum number of orthogonal robots. The primary focus is on orthogonal pathways, characterized by a path-like dual graph of vertical decomposition. It is demonstrated that determining the minimum number of orthogonal robots for pathways can be achieved in linear time. However, it is essential to note that the general problem of finding the minimum number of robots for simple polygons with general visibility, even in the orthogonal case, is known to be NP-hard. Emphasis is placed on the flexibility of placing robots anywhere within the polygon, whether on the boundary or in the interior.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes