A British market research firm called Interact Analysis is in its analysis showed that the market for autonomous mobile robots (AMR) and driverless transport systems (AGV) grew significantly last year. The number of systems shipped increased by 70 percent in 2021 and reached 100,000 units. Of this amount, 82,000 were AMR and 18,000 AGV. Revenues increased 36 percent, while solutions delivered were close to $ 3 billion. Sales of autonomous mobile robots accounted for $ 1.6 billion and sales of driverless transport systems for $ 1.3 billion.
Market researchers expect manufacturers to ship 640,000 AMRs and 43,000 AGVs to companies by 2025. By 2025, total shipments will approach 2 million units and the two largest destinations will be China and the United States. In 2021, 40 percent of mobile robots went to China and 25 percent to the U.S. According to experts, the popularity of autonomous machines will increase in all countries with high workloads, low unemployment and widespread e-commerce. The reasons for this are flexibility, cost-effectiveness, scalability, and the fact that these systems can be used in a wide range of sectors, from logistics to e-commerce to the automotive industry.
Robotic tasks around the world, such as transporting raw materials to production lines or delivering finished products for quality control, are already being carried out worldwide by robots, but more and more people want AMRs that have a higher load capacity and can even replace forklifts or pallet trucks. use as well. In addition, mobile manipulators with a collaborative robotic arm mounted on mobile platforms are becoming increasingly popular, as many companies expect the robot to perform a wider range of tasks in multiple locations, ultimately leaving more value to be gained from the automation investment.
Today’s best AMRs are able to teach themselves to perform certain tasks that would not have been possible before without costly and time-consuming programming. MI requires a significant amount of computing power, which is increasingly available to AMR developers. This allows robots to recognize objects and situations even faster. Today, advanced AMRs rely on MI, for example, for even more precise identification of workpieces and safe maneuvering in traffic, all with lower energy consumption.
The big advantage of mobile robots is that they don’t need a serious infrastructure, so companies can easily cut into automation with just the purchase of a robot. However, as soon as they want to install more robots, they need to find a way to connect and manage them. Right now – and for a while – it depends on wi-fi. Unfortunately, most wi-fi infrastructures are not built to allow this level of data sharing. As 5G becomes widely available, the resulting stronger and more robust computing infrastructure will take the potential of AMRs to the next level, allowing companies to efficiently manage dozens or even hundreds of robots at once.
Source: SG.hu Hírmagazin – IT/Tech by sg.hu.
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