AI Robotics Project: Multi-Robot Task Allocation, Dynamic Routing & Conveyor Logic

Описание: This project is a miniature warehouse automation environment designed to simulate how Robotics coordinates autonomous mobile robots inside fulfillment centers.

Built entirely in Python + Pygame, the system demonstrates:

🚀 Key Features
🤖 Multi-Robot Coordination

-Two autonomous warehouse robots

-A* path planning

-Real-time dynamic re-routing

-Collision avoidance + deadlock prevention

📦 Task Scheduling

-Click “Add Task” → generates a pick-up order

-Nearest free robot accepts the task

-Robot picks the package and drops it on the closest conveyor position

🔄 Conveyor System (Animated)

-Visual left-to-right conveyor motion

-Robots can only step onto the conveyor to drop items

-Conveyor behaves like a real logistics belt

🧭 Navigation Constraints

-Robots avoid shelves and obstacles

-Robots avoid driving along conveyor rows

-Robots dynamically plan new routes around each other

🏠 Home/Charging Behavior

-After delivery, robots autonomously return to home positions

I-dle robots wait for new tasks

🖥 Dashboard / Control Panel

-Live robot status

-Position tracking

-Current task

-Completed tasks

I-nteractive buttons (Reset, Add Task)

🎯 Technologies Used

-Python

-Pygame (graphics/UI)

-A* Search Algorithm

-Multi-Agent Coordination

-Dynamic Path Planning

-Collision Avoidance

-Event-Driven UI

🏗 Use Cases

This project is ideal for:

-Robotics software engineering interviews

Robotics portfolio

-Demonstrating multi-agent systems

-University or professional presentations

-Python AI/Robotics portfolio projects