Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda

Abstract

Many intralogistics businesses, including manufacturing, warehouses, cross-docks, terminals, and hospitals, are presently using autonomous mobile robots (AMR). They can operate independently in dynamic conditions because to their sophisticated hardware and control software. AMRs can interact and bargain with other resources, such as machines and systems, independently, which decentralizes the decision-making process in contrast to an automated guided vehicle (AGV) system, where a central unit controls scheduling, routing, and dispatching decisions for all AGVs. The system may respond dynamically to changes in the environment and system status thanks to decentralized decision-making. The conventional approaches and decision-making procedures for planning and control have been impacted by these advances. Research on the design and management of AMRs in intralogistics is identified and categorized in this study. We provide a comprehensive literature analysis that emphasizes the impact of AMR technology advancements on planning and control choices. In order to help managers make the best decisions and attain optimum performance, we add to the literature by presenting an AMR planning and control framework. Lastly, we provide a research plan for this area of study.