Forming Connected Multi-Robot Teams Utilizing Aerial Robots

In this paper, we study the connected multi-robot team formation problem. We consider the settings where multiple aerial and ground robots with limited communication ranges are operating in an unbounded environment. The ground robots do not have a priori knowledge about the initial locations of each other and the aerial robots. Moreover, the aerial robots do not know the initial locations of the ground robots in advance. Our goal is to divide the robots into teams as quickly as possible by relocating them. Each team should be of same size and include one aerial robot assigned to it as its leader, and the final configurations of the robots in each team should form a fully connected network topology. To solve this problem, we present an algorithm that combines distributed coordination and online planning of the robots. We evaluate the performance of the proposed algorithm in simulations.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/ichora65333.2025.11017231
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forming Connected Multi-Robot Teams Utilizing Aerial Robots

Deniz Özsoyeller
Modular Robots and Swarm Intelligence
article

Forming Connected Multi-Robot Teams Utilizing Aerial Robots

Deniz Özsoyeller
article en

Abstract

In this paper, we study the connected multi-robot team formation problem. We consider the settings where multiple aerial and ground robots with limited communication ranges are operating in an unbounded environment. The ground robots do not have a priori knowledge about the initial locations of each other and the aerial robots. Moreover, the aerial robots do not know the initial locations of the ground robots in advance. Our goal is to divide the robots into teams as quickly as possible by relocating them. Each team should be of same size and include one aerial robot assigned to it as its leader, and the final configurations of the robots in each team should form a fully connected network topology. To solve this problem, we present an algorithm that combines distributed coordination and online planning of the robots. We evaluate the performance of the proposed algorithm in simulations.

Yaşar University (TR)
Openalex Percentile: Top 87%
Modular Robots and Swarm Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.