Multiagent-Maze-exploration

Agent Based Modelling approach to model maze search using collaboration strategy among agents. I've implemented 3 stratagoies to simulate a swarm of robots exploring unknown territory. The maps can be generated by the maze_generator.py in the maps folder. It also has 2 pre generated maps of size 30x30 and 70x70. Complete description of agents and strategies can be found in the info tab of the netlogo model

Setup

1. Generate maze python3 maze_generator.py
2. Create Maze-map file similar to map3-towers.txt
3. Open netlogo 6.1 and import MazeExplorer.nlogo
4. Import Map by clicking load-own-patch-data followed by show-patch-data.
5. Follow the video tutorial

Video

Here is a small playlist demonstrating the project.

Contribution

Make PR for following

• Automate maze-map generation directly from python script
• Refactoring code
• Add More search strategies