| Title | Warehouse Agent |
|---|---|
| Emoji | 🚀 |
| ColorFrom | blue |
| ColorTo | green |
| sdk | docker |
| app_file | app.py |
| pinned | false |
This project simulates a real-world warehouse order fulfillment system where an autonomous agent collects items and delivers them to a drop zone.
The agent must:
- Navigate a grid warehouse
- Pick correct items
- Optimize delivery routes
- Manage time and battery constraints
Warehouse automation is a real-world logistics problem. This environment models:
- Order batching
- Path optimization
- Resource constraints
- S → Start
- A, B, C → Items
- D → Drop zone
- X → Obstacles
{
"agent_position": [row, col],
"inventory": [items],
"current_order": [items] or None,
"orders_completed": int,
"time": int,
"battery": int
}