Simulation of Autonomous Underwater Vehicles (AUVs) Swarm Diffusion

Area of Science:

• Robotics
• Artificial Intelligence
• Oceanography

Background:

• Autonomous underwater vehicles (AUVs) are increasingly used for marine research and exploration.
• Coordinating multiple AUVs in a swarm formation presents unique challenges and opportunities for enhanced coverage and efficiency.
• Understanding swarm behavior is crucial for developing advanced underwater robotic systems.

Purpose of the Study:

• To simulate and analyze the behavior of a swarm of AUVs in a confined marine environment.
• To demonstrate how emergent swarm behavior can lead to effective area coverage from a single deployment point.
• To present a microscopic diffusion model for understanding swarm dynamics.

Main Methods:

• Definition of AUV vehicle design parameters.
• Development of a swarm concept, outlining its inherent problems and strengths.
• Implementation of a "diffused intelligence" model for swarm behavior.
• Simulation of microscopic diffusion within the AUV swarm.

Main Results:

• The simulation successfully demonstrated the diffusion of AUVs throughout a defined sea section.
• Emergent swarm behavior, guided by simple rules, led to effective area coverage.
• The microscopic diffusion model provides insights into swarm dispersion patterns.

Conclusions:

• The proposed swarm approach, utilizing "diffused intelligence," is a viable method for underwater exploration and monitoring.
• Simple rules can effectively govern complex swarm behavior for autonomous underwater vehicles.
• Simulations support the efficacy of this swarm strategy for AUVs.