Abstract
Autonomous mobile robots (AMRs) have rapidly expanded research topics over the last few decades. Unlike their counterpart, the automated guided vehicle (AGV), AMRs can make decisions and don't require any pre-installed infrastructure to navigate. Recent advancements in hardware and software have made warehouse logistics more feasible, as moving materials often results in wasted expenses and is exhausting for workers. This paper illustrates the whole process of the Kiva Robotics System, one of the most advanced robotics systems in the current world, outlining the motivations for using autonomous robots in warehouses. We are at a time when robotics systems are at the peak of their advancements, and the Kiva system remains one of the most advanced autonomous technologies in the world. This paper addresses the advanced capabilities of the Kiva Robotics System, currently used by Amazon, to distribute customs from one place to another within a warehouse without the help of a massive workforce. While its applications are limited to logistics, this paper proposes an innovative expansion of its capabilities: using Kiva robots equipped with portable diagnostic tools to address public health challenges in under-resourced areas by collecting real-time data to identify disease outbreaks such as polio. This paper describes the steps taken in the Kiva Robotics System, current challenges, future directions, and how they can be worked in healthcare solutions. It discusses the potential future developments in human-robot collaboration, algorithmic navigation, sustainability in operations, and the evolving role of artificial intelligence (AI) in transforming the future of warehouse automation.