hajdu-patrik/MIGT2025-BME-Competition_JAVA

2025 Student Competition organized by the Department of Artificial Intelligence and System Engineering. I secured 3rd Place out of 18 participants in this competitive algorithmic challenge.

24
/ 100
Experimental

This project offers a solution for developing efficient, cooperative multi-agent systems designed for Urban Search and Rescue (USAR) scenarios. It takes in a simulated disaster environment and produces optimized strategies for autonomous robots (drones, rescue robots) to locate and evacuate survivors while minimizing communication and resource use. Anyone interested in designing algorithms for disaster response, robotics, or complex systems optimization would find this useful.

Use this if you need an example or starting point for creating an intelligent, cooperative robotic system to handle time-critical tasks like search and rescue.

Not ideal if you are looking for a plug-and-play application rather than an algorithmic solution designed for a specific competition.

robotics disaster-response multi-agent-systems resource-optimization pathfinding
No Package No Dependents
Maintenance 6 / 25
Adoption 5 / 25
Maturity 13 / 25
Community 0 / 25

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Stars

9

Forks

Language

Java

License

Last pushed

Dec 14, 2025

Commits (30d)

0

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