The hottest AI changes the logistics vehicle Jingd

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Artificial intelligence changes logistics vehicles: JD and rookie lift distribution equipment iteration tide

after JD's unmanned distribution vehicles were upgraded to the third generation, they still didn't learn to climb stairs. This made Gao Hongguang, the courier, relieved, because it meant that the unmanned delivery vehicle could not replace his work for the time being. Gaohongguang has been engaged in express delivery in JD for three years. "The unmanned car can be used in schools. 4. installing the sample: it is unrealistic to install the pre-determined sample on the attachment with the tensile testing machine for household use. The community has steps. Can it climb the steps? The customer must go downstairs to pick it up. In addition, JD's express delivery is large. How much can the unmanned car be loaded?" Taking advantage of the noon break, Gao Hongguang told the daily economy. At present, for the courier, the unmanned delivery vehicle is really friendly. According to Yang Jing, general manager of the automatic driving center of the X business unit of JD group, the equipment can complement the delivery personnel and make the delivery efficiency of people increase nearly ten times with the help of machines. From a technical point of view, logistics vehicles at the initial stage of intellectualization do have a long way to go. However, with the continuous improvement of technologies such as artificial intelligence, intelligent coupling and automatic driving, logistics vehicles are bound to undergo profound changes. Now, more than 100000 couriers like Gao Hongguang don't have to worry about losing their jobs, but what if one day an unmanned delivery vehicle can climb the stairs? Logistics vehicles ahead at present, car companies mainly engaged in passenger cars are keen on autonomous driving, which still needs a lot of testing and investment. More importantly, security issues make development cautious. If we turn our attention to technology companies, we will find that the logistics vehicle equipment has taken the lead in landing after deep integration with artificial intelligence, automatic driving and other technologies. "Our driverless logistics vehicles are aimed at logistics scenarios and solve logistics industry problems." Zhangchunhui, director of rookie et lab, said in an interview with daily economy. When asked what is the difference between driverless passenger cars and logistics vehicles, he avoided the comparison of technical parameters and emphasized who can first land the application. If there is any unclear place to meet the needs of users. In fact, when traditional car companies are scrambling to develop autonomous driving, hoping to make passenger cars more intelligent, Internet companies such as Alibaba and are no less invested in smart logistics, including the intelligent transformation of logistics vehicles. Up to now, JD unmanned distribution vehicles have been applied in Beijing, Xi'an and other places. According to the data, these distribution vehicles, such as wetting agent, perfume, foaming agent, etc., have some automatic driving functions, which can complete the actions of identifying traffic lights, automatically avoiding pedestrians and autonomously stopping at distribution points. Rookie is also cooperating with the intelligent logistics vehicle factory to launch the "Hump plan" to build 100000 logistics unmanned equipment within three years. "JD distribution robot is better at 'physical work'. It can continuously deliver orders in accordance with the requirements of traffic laws and regulations. In addition to normal charging and maintenance, it can complete the order distribution tasks with quality and quantity guaranteed at other times without fatigue. It no longer needs the delivery personnel to complete the distribution work in the wind and the sun." The relevant person in charge of JD group told the daily economy that the customer had made the design drawings. "The research and development of automatic driving of logistics vehicles is faster. First of all, the complexity of logistics scenarios for driverless vehicles is relatively low. For example, there are far fewer cornercase (extreme cases) to deal with in port and other scenarios, and the technology can be gradually evolved. Another point is that logistics vehicles have more commercial value, which can directly reduce costs and increase efficiency." Wang Dongxiang, chief technical officer of the vehicle cargo information matching platform Yunman, analyzed the daily economy. AI improves the efficiency of logistics distribution, optimizes transportation routes and reduces labor costs, which has become an important value after the unmanned distribution vehicle is used. In gaohongguang's opinion, there are usually many links that need communication and coordination when finally delivering express to customers, which is very troublesome for the machine. However, a car without people has no emotion and is indefatigable. It can calculate the optimal path quickly. In some aspects, it has already surpassed the courier. "Many aspects, such as driver behavior management and route optimization, need to apply artificial intelligence technology. For unmanned driving, artificial intelligence deep learning and other technologies can improve the efficiency and accuracy of the algorithm, deal with complex situations more effectively, and then improve the safety and rationality of driving." Yuzongming, general manager of Baoneng logistics group information management center, told the daily economy. It is worth noting that, in addition to the research and development of terminal equipment without human flow vehicles, artificial intelligence (AI) has long been used to improve the efficiency of the supply chain. In June this year, SAIC announced the establishment of an artificial intelligence laboratory. One year ago, Anji logistics, a logistics company under SAIC, was able to reduce the cost and increase the efficiency of SAIC's automobile logistics by 2%~5% a year with the help of artificial intelligence algorithms. "Automation in the field of highway logistics has been carried out in an all-round way. At the same time, trucks are undergoing gradual and breakthrough upgrades. For example, the use of ADAS (automatic braking and anti-collision) technology to help drivers drive more easily, automatic cruise, danger warning and fatigue driving diagnosis; breakthrough upgrades refer to L4 and L5 levels of unmanned driving." Wang Dong further said. However, for the technological progress of the logistics industry, Zhang Shuang, a marketing staff member of an art examination training institution in Beijing, expressed concern about the daily economy. "The unmanned delivery vehicle will not make me feel convenient, because I don't spend a long time at home every day, and I don't have much time to pick up and deliver express. The arrival of new technologies such as the unmanned delivery vehicle can be accepted, but considering the current convenience, I prefer the days when there are couriers."

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