*The wiki contains the most recent information and videos (1K robots!) on this project.
What all goes into logistics? I explore this by building a simulated automated warehouse and the systems needed to consolidate orders with multiple agents.
We first assume a spherical cow / 2D grid world layout for the warehouse, we will have N robots that can move items from load zones to stations, and then a system for tracking incoming Orders and fulfilling them with those Robots.
This breaks up into two parts, the algorithm side (MAPF) and the logistics/database side (inventory management system / automated warehouse).
media_automated_warehouse_example5.mp4
Multi-Agent Path Planning (MAPF) multiagent_planner
Building a python module for finding paths in a 2D grid world for single and multiple agents simultaneously without collisions.
Building a full stack warehouse inventory management system from the ground up.
- Orders come in, which are requests for a set of items to be consolidated and shipped.
- Stations are assigned orders to fulfill, which are broken down into a series of Tasks to move Items to that station.
- The Robot Allocator takes available tasks and creates Jobs to move items from their pickup to the station, and assigns them to available Robots
- The World Simulator simulates all of this, including robots being pathed through the warehouse avoiding obstacles and each other
- A web interface shows live views of the warehouse inventory system (Orders/Stations & progress)
- Another web interface shows a live view of the simulated warehouse, with the world setup and robots current position and their paths, as well as items they hold.
The automated warehouse project utilizes a system of Orders, Tasks, and Jobs managed by a Robot Allocator, which assigns Robots to efficiently transport Items from Item Zones to Stations for assembly and order fulfillment.
A python module for tracking creating and tracking Orders, Items, Stations, and Tasks.
