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Review of Autonomous Mobile Robots for the Warehouse Environment
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Autonomous mobile robots (AMRs) have been a rapidly expanding research topic for the past decade. Unlike their counterpart, the automated guided vehicle (AGV), AMRs can make decisions and do not need any previously installed infrastructure to navigate. Recent technological developments in hardware and software have made them more feasible, especially in warehouse environments. Traditionally, most wasted warehouse expenses come from the logistics of moving material from one point to another, and is exhaustive for humans to continuously walk those distances while carrying a load. Here, AMRs can help by working with humans to cut down the time and effort of these repetitive tasks, improving performance and reducing the fatigue of their human collaborators. This literature review covers the recent developments in AMR technology including hardware, robotic control, and system control. This paper also discusses examples of current AMR producers, their robots, and the software that is used to control them. We conclude with future research topics and where we see AMRs developing in the warehouse environment.
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Cited by 2 Pith papers
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VL-Explore: Zero-shot Vision-Language Exploration and Target Discovery by Mobile Robots
A monocular, map-free navigation pipeline uses CLIP scores on six image tiles to explore rooms and discover a target in real time.
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World-Model-Aware Responsibility Allocation in Heterogeneous Logistics Systems
WMARF assigns decision authority between a central control system and autonomous logistics equipment based on world-model quality, and shows on one simulated transfer point that a proximity-triggered handoff prevents ...
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