Warehouse MultiAgent System

Overview

An advanced multi-agent system that simulates autonomous robots coordinating in complex warehouse environments.

Key Achievements

• Multi-Agent Coordination: Engineered a warehouse simulation with autonomous robots coordinating in complex environments.
• Real-time Vision: Implemented real-time computer vision using YOLOv5 with UDP streaming (40% faster than previous systems).
• Intelligent Navigation: Designed intelligent navigation using NavMesh for dynamic obstacle avoidance and path optimization.

Technologies Used

• Unity: Game engine for 3D simulation environment.
• Python: For AI algorithms and computer vision.
• YOLOv5: Real-time object detection model.
• UDP: Protocol for real-time communication between agents.
• NavMesh: For pathfinding and navigation.