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It simulates a dynamic environment with agents, blocked areas, stacks (with pallets), and pickup zones. The simulator continuously generates orders to transport pallets from stacks to pickup areas and redistributes pallets between stacks when necessary.
This project started after my presentation at Berlin Robotics Meetup (slides, video), when I was asked a reasonable question: "Where is the code?"
Another reason was that I didn't find other easy-to-grok implementations of Windowed Hierarchical Cooperative A* algorithms, so I decided to implement mine. So please take it with a grain of salt, and don't expect it to be polished.
The entry point is ./run-in-docker.bash. It requires only a bash-compatible shell, any Python, and the latest docker. It provides a visualization as an HTML page.
The entry point is ./run-locally.bash. It will install all system dependencies and run a GUI version of the visualization. Better suitable for developing.
