Integrating Robotics in Modern Warehouse Logistics

Abstract

Warehouse logistics has been fundamentally changed by the blistering development of e-commerce, global supply chains and consumer demands to be delivery in less time. Manual and semi-manual warehouse systems are gradually becoming incapable of satisfying contemporary requirements with respect to speed, accuracy, scale, and lowering operating costs. Consequently, robotics has become an important enabling technology of the next-generation warehouse. This paper will provide an in-depth analysis of integrating robotics into the operations of the contemporary warehouse logistics setting as seen through the architecture, operational processes, operational performance, and challenges in implementation. The paper discusses the different categories of warehouse robots, such as: autonomous mobile robots (AMRs), automated guided vehicles (AGVs), robotic picking of goods and collaborative robots (cobots). An extensive literature review underscores current developments, algorithm methods and industrial implementations. The suggested methodology presents a warehouse architecture based on modular robots that incorporates a perception system, a navigation system, a task allocation system and a fleet management system. Measures of performance evaluation including throughput, accuracy of order fulfillment, energy and operational cost are evaluated. The findings reveal a high level of productivity, scalability as well as reliability over traditional systems. The paper will end with the suggestions of research directions on how to continue with it in future, as the approaches of artificial intelligence, digital twins, and human/robot collaboration have been identified as the primary catalysts of intelligent warehouse ecosystems.