OPENTECHNICAL PUBLICATION
OT-2026-000000283

Autonomous drone swarm system with AI-driven coordination and multi-modal sensor integration

Published: 2026-09-15T19:02:41.992588Z
Permanent URL: https://opentechnical.org/p/OT-2026-000000283
Categories: Sensors, Controls & Machine Vision > Industrial Control

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ABSTRACT

An autonomous drone swarm system and method utilizing artificial intelligence
for coordinated operations comprises command drones equipped with large
language model processors and subordinate drones coordinated through a
hierarchical Queen-Worker architecture. The system processes natural language
commands, generates autonomous mission plans, and coordinates multi-drone
operations through an encrypted self-healing mesh communication network
utilizing laser, radio frequency, and visual communication channels.
Multi-modal sensor integration including electro-optical, infrared, LiDAR and
photogrammetry, radio frequency, and chemical detection provides comprehensive
environmental awareness while federated learning algorithms enable distributed
coordination in signal-denied environments. The system implements configurable
operational modes spanning tactical (15 minutes-2 hours over 2 to 5 square
kilometers), operational (6-24 hours over 20 to 50 square kilometers), and
strategic (7-30+days over 200 to 500 square kilometers) mission profiles for
military and commercial applications. Fault-tolerant protocols ensure
continued operation despite individual failures through automatic task
redistribution and leader election procedures.

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OpenTechnical publication OT-2026-000000283
Published 2026-09-15T19:02:41.992588Z
https://opentechnical.org/p/OT-2026-000000283