Warehouse Robot

Warehouse robots are being developed to automate tasks like picking, transporting, and placing goods, aiming to increase efficiency and reduce human labor in logistics. Current research heavily emphasizes improving robot perception and navigation using computer vision (e.g., RGB image processing) and reinforcement learning (e.g., Q-learning, SARSA, and deep reinforcement learning variants) to enable robust object manipulation and obstacle avoidance in dynamic environments. These advancements are crucial for optimizing warehouse operations, particularly in e-commerce fulfillment, and are driving significant innovation in robotics, machine learning, and human-robot interaction.