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Related Experiment Video

Updated: Oct 8, 2025

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

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Aerial Swarms: Recent Applications and Challenges.

Mohamed Abdelkader^1,2, Samet Güler³, Hassan Jaleel⁴

¹Prince Sultan University, Riyadh, Saudi Arabia.

Current Robotics Reports

|January 3, 2022

Summary

This summary is machine-generated.

This review explores aerial swarm applications and algorithms. Current systems face scalability challenges in real-world environments due to localization and communication limitations.

Keywords:

Aerial swarm Multi-UAV systems

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Area of Science:

Robotics and Artificial Intelligence
Multi-agent Systems
Control Theory

Background:

Aerial swarms, a type of multi-agent robotic system, are gaining significant interest for diverse applications.
Research often focuses on specific aspects of these complex, multidisciplinary systems.
Existing studies highlight the need for a comprehensive overview of applications and core algorithms.

Purpose of the Study:

To review key applications driving aerial swarm research.
To summarize fundamental algorithmic components for developing aerial swarm systems.
To provide a structured understanding of aerial swarm system architecture.

Main Methods:

Literature review of multi-agent systems research, focusing on aerial swarms.
Analysis of common algorithmic components, including state estimation and mission planning.
Synthesis of research findings to propose a system architecture abstraction.

Main Results:

Most aerial swarm demonstrations rely on simulations or limited indoor/outdoor experiments.
Scalability issues in real-world environments are evident.
Key challenges include robot localization, swarm-level relative localization, and inter-robot communication for motion planning.

Conclusions:

Aerial swarm research is motivated by various applications, requiring robust state estimation and mission planning.
Current systems exhibit scalability limitations, particularly in outdoor, real-world scenarios.
A proposed architectural abstraction can aid developers in understanding essential modules for aerial swarm systems.