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Academic Project

Drone Swarm Project

A drone swarm project exploring how multiple autonomous agents can coordinate movement, share task intent, and respond to dynamic environment changes through simulation-oriented AI logic.

Overview

A drone swarm project exploring how multiple autonomous agents can coordinate movement, share task intent, and respond to dynamic environment changes through simulation-oriented AI logic.

Problem

Coordinating multiple autonomous agents requires balancing local decisions, shared objectives, and reliable behavior under changing conditions.

Technical Approach

I explored swarm-style coordination through simulation logic, focusing on agent roles, movement strategy, and repeatable scenario testing.

Result

The project adds a clear autonomous-systems signal to the site and connects AI interests with robotics and defense-oriented simulation work.

Technologies

PythonArtificial IntelligenceSimulationMulti-Agent SystemsAutonomous Systems

External Links