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.