The development of e-commerce has driven the development of express delivery. In order to increase efficiency, China's express delivery industry has also begun to use robots . At present, most of the functions of the robots used for express delivery are sorting and delivery. What functions will the next-generation express robots have? According to the Wall Street Journal, robot developers are already making breakthroughs in picking and packaging technology, and these technologies are expected to be used in future express robots.
For retailers, the automation of taking items from the shelves and packaging them before shipping is a huge obstacle, and this work is one of the most labor-intensive parts of the e-commerce business. In most e-commerce distribution centers, picking is the highest cost of labor and one of the least automated.
However, robot developers have already made breakthroughs in this technology. Several companies including SaksFifthAvenue's Hudson's Bay and Chinese e-commerce giant Jingdong have recently started testing picking robots in distribution centers, according to some robot companies. They say that their robots are 50% faster than manuals when handling small shipments. Jingdong is developing its own picking robots. The company has started testing in Shanghai distribution center in April. Cheng Hui, head of the Jingdong Silicon Valley Robotics Research Center, said the company hopes to set up a fully automated warehouse by the end of next year.
The biggest benefit of robot picking is the high revenue. RightHandRobotics' automated picking robot records data in the relevant database each time the attempt is made. The larger the data set, the faster the robotic arm picks and the higher the reliability. At the same time, because the robot can work 24 hours, the efficiency is significantly higher than the manpower. And some companies hope to speed up development by making some research public. For example, Amazon will hold its third annual automatic picking competition at a robotics conference in Japan later this month.
However, we learned from the news that there is at least one year to go before the automatic picking technology is put into commercial use. The main challenge is to create a huge database of 3D computing objects. The robot needs these data to decide to grab new objects. The best way.
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