A Review of Robot Fleet Management

This paper comprehensively reviews Robot Fleet Management (RFM), detailing current practices, challenges, and advancements in this critical domain. With the expansion of automation across industries such as manufacturing, logistics, and healthcare, effective coordination of robot fleets has become pivotal. This review focuses on key aspects such as task allocation, trajectory planning, and communication strategies, identifying prominent applications in industrial and delivery settings while exploring emerging sectors, such as marine operations and hospital environments. Challenges, such as dynamic interaction management and scalability, were examined, emphasizing the practical validation of algorithms and the integration of heterogeneous fleets. The literature was selected following the PRISMA methodology based on studies retrieved from Scopus, Web of Science, and the IEEE Xplore digital library. This study provides actionable insights into RFM methodologies and identifies research gaps, highlighting the need for innovative solutions for scalability, communication robustness, and real-world application testing. The findings contribute significantly to the advancement of autonomous systems and the optimization of logistical operations, offering a foundational resource for academics and practitioners driving innovation in multi-robot systems.