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The reasons for using autonomous logistics robots

Efficiency and productivity improvement in the logistics sector is increasingly linked to the proper use of robots. Meeting the expectations of the final consumer, increasingly demanding in speed and quality, depends more and more on the installation of these robots that allow handling large volumes of orders with precision, which with traditional preparation would require much more time, avoiding errors that they end up blurring the company’s image.

These autonomous units are increasingly implemented, offering impeccable efficiency in actions classifying, storing, packing and calculating the temporal efficiency to make the most of their presence. The maximum precision in the shipments and its effective control are added advantages that can be linked to useful interfaces of communication with the user that allow this to monitor your order in a clear way. Currently, the use of the technology for purchases, consumers expect services faster and if possible free. For this, an effective order preparation system (product to operator) is essential for an accelerated fulfillment of work.

In this sense, The SPARC program of the European Commission allows 700 million Euros to be invested in robotics research and some 180 European companies have already committed to an investment of an additional 2100 million Euros by 2020. It is true that investment is required, but the return of this in added qualities to the company before the client makes the arrival of logistics robots unstoppable given the high competition in the sector. There is no need to fear in this process for the loss of jobs as there are various functions that the operator must continue to perform, in addition to her own supervision of the robotic system, creating a balance between man and machine that results in society. For example Amazon, the first of logistics, ensures that the use of robots not only helps optimize the supply chain and improve the customer experience, but also crucial support for workers.

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