This article is produced by NetEase Smart Studio (public number smartman 163). Focus on AI and read the next big era! [Netease Smart News December 8 news] Hurry, go to click on the "BUY?NOW" button. Look for sweaters, televisions or pillows that look like salmon fillets. Press this button and the hardworking warehouse robot can help you achieve your goals. To know: The more you rely on online shopping, the more online retailers rely on robots to provide you with these products. The robot shuttles between the individual cargo cabinets in the warehouse and retrieves the goods ordered by the customer, while other robots scan the bar code to record the inventory. Moreover, more and more robotic arms are replacing what was once only human beings can do: arrange a large number of grotesque objects, compile a large number of orders, and all these items will be packaged and delivered to you - dear consumers. Ken Goldberg, a robotics expert at the University of California, Berkeley, said: “In my opinion, the 2017 event reflects the e-commerce is turning to a turning point. Companies like Amazon are offering at an unprecedented rate. The product, about 500 packages per second. And this speed will continue to accelerate." Technological progress will not stop. Working robots are no longer just lifting heavy objects, welding or performing other large, brute-force tasks. New robots like the Amazon Logistics Center are more advanced, more sophisticated, and more collaborative. Although the partial automation of these processes has made it easier for e-tailers to complete orders, it has also promoted the revival of robotics, and its impact will far exceed the scope of the warehouse. Machine learning improves work efficiency When we think of factory robots, we can think of machines that will take on exhausting things, such as picking up and returning, while humans do what they do best: manipulation. This model still exists, and humans who continue to participate in this process are only responsible for the critical (and very complex) final step, because nothing can be more dexterous than the human hand, at least for now, and the machine has made rapid progress in this area. . This is partly due to Amazon's "Picking Challenge," in which the team controls robots to perform their work. This helps bridge the gap between academia and industry. Pieter Abbeel, a robotics expert at the University of California, Berkeley, said: "Since the robots were born, most of the time they have only assisted research, rather than really putting them into practice because it is too difficult." Abbil's new The company Embodied Intelligence aims to help industrial robots become smarter. Abil said: "I think that Amazon's 'challenge challenge' is a surprising thing. People will say, 'Wow, this is something in the real world, what people really need, we can research it.' ." For example, San Francisco has a startup called Kindred. Engineers are teaching robots to complete the final steps of delivery. Using a technique called "imitation learning," engineers guide robots to show how to better catch a wide variety of objects in Amazon warehouses. Kindred co-founder George Babu said: "These things are different, soft and hard, and you can't pre-program it." Then, a second type of technology called "reinforcement learning" comes into play. This robot has accepted its knowledge and further improved its speed and accuracy through continuous trial and error. In theory, this will not only impose an additional burden on the delivery process, but it will also make it more flexible. For example, if you are a clothing retailer, after winter comes, you need to teach robots to handle bulky items like coats. Kindred is conducting a pilot project at Gap. When you show robots how to adapt, why write a bunch of complicated new code? But even in a relatively structured environment such as a logistics center, machines face many obstacles. Some are literal, such as those who work with them. Will Robots Replace Human Work? The need for increased collaboration between humans and robots is forcing companies to carefully study how to integrate automatic robots into the workforce. For Amazon and its 100,000 working robots, this means doing something very human: listening. Employees have some oral communication during the entry process. Amazon spokesperson Nina Lindsey said: “Our partners actually gave feedback on the colors of the fabrics and packaging on the shelves, and this design actually allows our partners to find products more efficiently. ." For those cynical people, it sounds like workers voluntarily accelerate their work. However, in the short term, this is not the case. While hiring robots, Amazon also employs a large number of human employees. For employees, Amazon is a very suitable place for human work, and robots also have a place. David Schatsky, Managing Director of Deloitte and co-author of the latest report on workplace robots, said: "Technology is very good at performing people's work, but work is not just a task. So, jobs will happen. Change, but I don't think there will be large-scale layoffs and a lot of job categories will disappear." However, work automation is nothing new. Think about the United States in the late 18th century, 90% of laborers worked hard in agriculture. Fast forward to 2012, only 1.5% of the people engaged in agricultural labor. Warehouse work is fundamentally different, but it's not hard to imagine that in the near future, more and more complex robots will no longer only play a collaborative role but will begin to replace humans. Does this mean that these people will switch to more creative work or they will eventually supervise the machine, which will depend on the work itself. Therefore, we have seen several factors that are merging and they have prompted the revival of robots. First of all, sensors that allow robots to navigate in a chaotic environment become more and more powerful and they become cheaper. Second, artificial intelligence (AI) has greatly improved. Third, this area has money to make, and it can make a lot of money. E-commerce is also growing and expanding. In the United States alone, the market size may reach 600 billion U.S. dollars per year by 2020. However, this does not mean that e-commerce will only bring benefits. The technology that is expected to be developed for shipment will spill into the real world. Those companion robots that have already begun to invade our homes will be better navigated and informed by their warehouse partners. These machines will become smarter and easier to teach themselves, perhaps thanks to companies like Embodied Intelligence and Kindred. The difficult dream of robotics - allowing the machine to recognize and control a wide variety of objects - is likely to happen because it will make people in e-commerce fields make a lot of money. (Selected from:wire Compile: NetEase See Compiled Robot Review: Little) Pay attention to NetEase smart public number (smartman163), obtain the latest report of artificial intelligence industry.
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