Autonomous Collaborative Robotics in Drone Swarms: Advanced Control Strategies for Complex Environments

Drones that can fly around on their own in groups are really good at watching things, helping with disasters, and doing work in factories. They have a hard time working together, scaling up, and changing what they do when things get complicated. When one person or computer is in charge of all the drones, it takes too long to make decisions. When the drones make their decisions, they have a hard time not running into each other and saving energy. So, we made a way for drones to work together using artificial intelligence. This way uses various kinds of learning and lets the drones make their own decisions. We tried this way with computers, and it worked really well. The drones got better at working, did things faster, finished tasks, and did not run into each other as much, even when there were a lot of things in their way.

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Publication Details

Journal
WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Published
2026-10-30
DOI
https://doi.org/10.37394/23203.2026.21.42
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Autonomous Collaborative Robotics in Drone Swarms: Advanced Control Strategies for Complex Environments

Lafi Alnufaie
4 links
WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Distributed Control Multi-Agent Systems
article

Autonomous Collaborative Robotics in Drone Swarms: Advanced Control Strategies for Complex Environments

Lafi Alnufaie
article en

Abstract

Drones that can fly around on their own in groups are really good at watching things, helping with disasters, and doing work in factories. They have a hard time working together, scaling up, and changing what they do when things get complicated. When one person or computer is in charge of all the drones, it takes too long to make decisions. When the drones make their decisions, they have a hard time not running into each other and saving energy. So, we made a way for drones to work together using artificial intelligence. This way uses various kinds of learning and lets the drones make their own decisions. We tried this way with computers, and it worked really well. The drones got better at working, did things faster, finished tasks, and did not run into each other as much, even when there were a lot of things in their way.

WSEAS TRANSACTIONS ON SYSTEMS AND CONTROLVol. 21
Shaqra University (SA)
Shaqra University
Openalex Percentile: Top 13%
Distributed Control Multi-Agent Systems
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