Path routing and task assignment of multiple robots in a robotic mobile fulfillement system

Abstract

Robotic Mobile Fulfillment Systems (RMFS) have rapidly advanced in recent years, driven by the rise of e-commerce and the increasing adoption of robots in warehouses. Efficient path routing and task assignment are crucial for optimizing system performance. We propose a modified A* algorithm for robot path planning that accounts for potential collisions with other vehicles. Additionally, we introduce a novel priority rule aimed at reducing energy consumption. Our approach also includes task assignment algorithms designed to minimize both the risk of collisions and the total distance traveled. These advancements improve overall operational efficiency and safety in robotic warehouse environments.