Unmanned Warehouse

Unmanned warehouses utilize robots and AI to automate tasks like order fulfillment and inventory management, aiming to increase efficiency and reduce operational costs. Current research emphasizes optimizing robot path planning and task allocation using algorithms like large-scale neighborhood search and reinforcement learning, often within simulated grid-based environments to address issues such as congestion and human-robot interaction. These advancements are crucial for improving logistics and supply chain management, particularly in e-commerce, and are driving innovation in areas like multi-agent systems and adaptive task planning for large-scale deployments.