Represented by AGV, autonomous mobile robots are the leaders in logistics robots and one of the core subsystems of intelligent logistics systems. In recent years, the market for autonomous mobile robots has maintained steady growth, even in the face of the COVID-19 pandemic, with a growth rate remaining between 30% and 60%.
Behind this growth is not only due to stable demand in mature markets, such as the technological reform demands of the tobacco industry, but also due to the expansion of emerging industries, such as new energy and new materials. At the same time, the automation and intelligence upgrade of traditional industries, especially the transformation and upgrade demands of the manufacturing industry, have driven the vigorous development of the autonomous mobile robot market.
Advantage in labor costs
In terms of labor costs, modern enterprises are gradually embracing the wave of "replacing humans with machines." Faced with the challenges of labor shortages and difficulties in recruitment, autonomous mobile robots have become an ideal choice to replace manual completion of low-end, high-intensity, and repetitive material handling tasks. Compared to a large number of manual maintenance personnel, only a small number of equipment maintenance personnel are needed on-site, which not only reduces labor costs but also improves operational safety, avoiding potential risks associated with manual operations.
Leaping efficiency
With the continuous advancement of autonomous pallet robots technology, AGV and AMR products have achieved significant improvements in dimensions such as load capacity, travel speed, safety, and intelligence. Although there are some difficult operation scenarios where robots cannot fully replace humans, in many simple scenarios and large-scale storage handling, the system efficiency of autonomous mobile robots has far exceeded manual efficiency.
Driving digital transformation
In the wave of corporate digital transformation, automation, informatization, and digitization have become key elements to enhance operational efficiency and achieve high-quality development. Autonomous mobile robots efficiently connect each link, achieve automation upgrade, reduce human uncertainties, improve accuracy, and reduce labor intensity. Real-time uploading of equipment data improves data accuracy and timeliness, establishes a solid data foundation for enterprises to optimize and upgrade management guidance and production through big data and AI data analysis, and promotes better digital transformation for enterprises.
AGV-class autonomous mobile robot system projects have unique characteristics in engineering implementation, which are highlighted in the following three aspects:
Short implementation cycle
When choosing AGV automated guided vehicle as a logistics solution, customers usually pay attention to the length of the implementation cycle. Since AGV does not require the installation of tracks or auxiliary equipment like stacker cranes, its workload during the engineering implementation stage is relatively small, which can significantly accelerate the customer's production progress.
Low investment cost
Compared with traditional fixed conveyor lines and other equipment, AGV is a device that can move autonomously and be reused in multiple workstations, adapting to different production characteristics according to production rhythms. This significant reduces the equipment investment cost of the entire system, providing customers with a more cost-effective solution.
Strong System Flexibility
AGV (Automated Guided Vehicle) possesses the characteristic of being a self-contained system, meaning that in scenarios with smaller volumes, AGV itself can form a lightweight logistics system. It is particularly suitable for partial transformations of temporarily leased warehouses or factories. The flexibility of the AGV system allows it to quickly adapt to the requirements of these scenarios, helping customers avoid excessive hardware investment.
It is important to note that although AGV autonomous mobile robot systems are relatively simple in structure and have lower requirements for transforming the customer's production environment, the complexity of individual devices is quite high. Unlike traditional logistics systems, AGV autonomous mobile robot systems not only need to fulfill transportation functions but also require higher levels of flexibility, adaptability, and stability. In manufacturing logistics scenarios, many process flows can be optimized and adjusted in the later stages of a project. Compared to fixed logistics lines, AGV autonomous mobile robot systems are better equipped to adapt to future uncertainties, highlighting the differences between them and traditional logistics systems.
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