Mobil robotlar ile dağıtık kapsama kontrolü: Bir potansiyel oyun yaklaşımı

Year 2023, , 1271 - 1281, 15.10.2023

Samet Güler

https://doi.org/10.28948/ngumuh.1293191

Abstract

Endüstriyel uygulamalarda mobil robotların kullanımı, gürbüz ve dağıtık algoritma içeren otonom çoklu-robot sistemlerine bir gereksinim oluşturmuştur. Bir robot takımının sınırlı bir alanda uzaysal-zamansal olaylara cevap vermesi anlamına gelen kapsama kontrolü bu tür sistemlerde kritik bir hedeftir. Bu çalışmada, bir grup mobil robotun doğrusal bir iş istasyonunun iki tarafında belirli lokasyonları kapsamakla görevli olduğu özel bir kapsama problemini ele alıyoruz. Problemi iyi kurgulanmış oyuncu stratejileri ile mobil robotlar arasında oynanan bir oyun olarak formalize ediyor ve ortaya çıkan yapının eşit paylaşılan fayda temelli bir potansiyel oyun olduğunu gösteriyoruz. Sunulan yapı, robotlarda anonim kimlikler ve kısıtlı algılama yeteneklerine izin veren dağıtık ve merkezi olmayan bir yapıdır. Bir grup simülasyon çalışması yaklaşımımızı doğrulamaktadır.

Keywords

Kapsama kontrolü, Çoklu-robot sistemleri, Öğrenme algoritmaları

Project Number

118C348

Distributed coverage control with mobile robots: A potential game approach

Abstract

The use of mobile robots in industrial applications has led to a demand for autonomous multi-robot systems with robust and distributed algorithms. A critical objective in such systems is coverage control, where a team of mobile robots need to respond to spatiotemporal events in a bounded region. Here, we address a specific coverage problem, where a group of mobile robots are tasked with responding to events by covering specific locations on two sides of a linear workstation. We formulate the problem as a game played by the mobile robots with well-designed player strategies, and we demonstrate that the resulting framework is a potential game based on equally shared utilities among the robots. The proposed framework is distributed and decentralized, allowing for anonymous identities and constrained sensing capabilities in the robots. A set of simulation studies verify our approach.

Keywords

Coverage control, Multi-robot systems, Learning algorithms

Supporting Institution

TÜBİTAK

Project Number

118C348

Thanks

This paper has been produced benefiting from the 2232 International Fellowship for Outstanding Researchers Program of TÜBİTAK (Project No: 118C348). However, the entire responsibility of the paper belongs to the owner of the paper. The financial support received from TÜBİTAK does not mean that the content of the publication is approved in a scientific sense by TÜBİTAK.

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