The application and development trend of intelligent logistics robots: discussing the role of artificial intelligence in it

Author: Zen and the Art of Computer Programming

With the continuous transformation and upgrading of the logistics industry, intelligent logistics robots (IOT) have gradually become an increasingly important "niche" product. By allowing logistics vehicles and related equipment to automatically perform tasks, improve efficiency and reduce labor costs, the benefits of the industrial chain can be greatly improved. Since 2019, the field of intelligent logistics robots has moved from research to application. However, there is no uniform standard and framework for how to apply and use intelligent logistics robots. Various companies have tried the application and development of intelligent logistics robots to varying degrees, but the effect is either considerable or minimal. Different scenarios require different solutions, so the demand-driven R&D model will become the future development direction.

In the fourth quarter of 2020, with the "development of new technologies such as big data, artificial intelligence, and cloud computing", the application and development of intelligent logistics robots will once again become a hot topic. In recent years, due to the strong demand for intelligent logistics robots in various industries, corresponding products and services have emerged in an endless stream. For example: the Chinese driving test platform joins hands with Intel and the luxurious Huawei cloud connection line to jointly launch a driving test system based on intelligent monitoring; the smart bus system launched by Chenglianbao can monitor the status of vehicles in real time and conduct command and dispatch; in mainland China and In Hong Kong, a variety of intelligent logistics robot products have emerged one after another, all of which have received extensive attention from the market.

With the advancement and development of technology, the research, application and production of intelligent logistics robots will continue to prosper, and relevant institutions will become more and more prosperous to meet new challenges. The following takes the logistics scenario as an example, combined with the author's personal practical experience, to explain the application scenarios of intelligent logistics robots, as well as the current needs and potential challenges.

2. Explanation of basic concepts and terms

(1) IOT: Internet of Things, the Internet of Things.

Internet of Th

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