Optimizing Automated Picking Systems in Warehouse Robots Using Machine
Learning
Optimizing Automated Picking Systems in Warehouse Robots Using Machine
Learning
With the rapid growth of global e-commerce, the demand for automation in the logistics industry is increasing. This study focuses on automated picking systems in warehouses, utilizing deep learning and reinforcement learning technologies to enhance picking efficiency and accuracy while reducing system failure rates. Through empirical analysis, we demonstrate the …