Warehouse Environment

Warehouse environment optimization focuses on improving efficiency and reducing costs in warehouse operations, primarily through automation and intelligent task allocation. Current research heavily utilizes deep reinforcement learning (DRL) and other machine learning techniques, such as quantum annealing and evolutionary algorithms, to optimize aspects like robot navigation, order picking, and storage assignment, often incorporating collaborative perception among multiple robots and human workers. These advancements have significant implications for logistics and supply chain management, promising substantial improvements in speed, cost-effectiveness, and overall warehouse productivity.