Intelligent Warehouse

Intelligent warehouses leverage automation to optimize storage and retrieval, aiming to maximize efficiency and minimize costs. Current research focuses on improving task allocation for automated guided vehicles (AGVs) and robots, often employing algorithms like conflict-based search (CBS) and reinforcement learning (e.g., shared experience actor-critic, SEAC) to manage dynamic environments and optimize bin placement for faster retrieval. These advancements are improving warehouse throughput and responsiveness to changing demands, impacting logistics and supply chain management significantly. The development of robust routing systems and hierarchical task scheduling further enhances the coordination of human and robotic workers within these complex systems.