On August 22, 2019, Dr. Luyang Li, co-founder and CEO of Future Robot, was invited to be a guest at Baidu x China Science and Technology Network Media Live Room. In an exclusive interview with the reporter, the young robot head of future robots talked about the universality and ease of use of industrial driverless technology, machine autonomous learning, the application of visual navigation technology, the market prospect of unmanned upgrades and cross The subject answered the meaning of the robot industry one by one, saying that "the unmanned transformation of industrial vehicles is a very urgent market in need".
The following is the interview record:
Reporter: You can say hello to everyone.
Li Luyang: Hello everyone, I am Li Luyang of the future robot. Future Robot was established in Shenzhen in 2016. It is a key supporting enterprise in Shenzhen, including Yantian District. The company's core business is unmanned platforms for industrial vehicles. Therefore, our core is to carry out unmanned transformation on the customer's site, such as forklifts, tractors, including HAECO, through vision technology, and ultimately reduce human efficiency.
Reporter: Can you talk about how to transform it specifically?
Li Luyang: The core of the future robot is two points. First, we can rebuild the old (industrial) vehicles on the customer's site, so in fact, we are more not providing vehicles, but implementing artificial forklifts on the customer's site to achieve unmanned transformation. Second, our core technology is vision (navigation). Our team has been developing core technology since 2011. The main work is to combine vision (technology) with robot movement. As the name implies, it uses vision to control the robot's perception and navigation. Ultimately achieve driverless. Simply put, we can complete unmanned transformation and upgrade by providing vision for old vehicles.
Reporter: What are the technical difficulties in unmanned transformation?
Li Luyang: There are two core points. The first point is versatility, that is, how to enable vision to complete the signal input or information input of the bottom control of the robot, and finally realize the unmanned transformation of different types of vehicles. The more vehicles that can be transformed, the greater the breadth of the market. The second point is ease of use. How long can our vehicle reach the customer's site to complete the commissioning, can the customer complete the commissioning themselves, or can the customer take part of the maintenance work? It's ease of use. The universal type is related to the visual control of the car, and the ease of use is related to the perception of the car.
Reporter: How versatile is our technology today?
Li Luyang: We can now transform more than 180 manual forklifts and tractors of six major brands, basically covering all electric and partially internal combustion models on the market. Li Luyang: At present, our technology is mainly applied in two major industries, one is factory logistics, that is, in-factory logistics for manufacturing, and the other is warehousing logistics, which is also called so-called large logistics. Manufacturing industry includes automobile manufacturing, lithium battery manufacturing, daily chemical, food, pharmaceuticals, etc. We will all be involved; the logistics industry includes e-commerce logistics, offline retail logistics, third-party logistics and other scenarios.
Reporter: How about ease of use?
Li Luyang: We try to lower the technical threshold so that our partners, such as integrators, middlemen, forklift leasing companies, and even customer site equipment commissioning personnel, can complete the commissioning work. We are still working on this and hope to achieve it in the next two years. We plan to complete the unmanned transformation of 3 million vehicles in the next 5 years, with a scale of 600,000 vehicles per year. In terms of scale, this is a medium-sized market, but this market is not ordinary because it is a just-demand market ... With the disappearance of China's demographic dividend, from the demand side, more and more companies choose robots instead of humans. Complete intensive, high-intensity work. Our team has been engaged in low-speed vehicle unmanned technology (research and development) under natural environment since its establishment, that is, to achieve unmanned driving in scenarios below 20KM per hour. Regardless of market demand or our technical applicability, the unmanned transformation of industrial vehicles is a very good market.
Reporter: How did the transformed unmanned vehicle perform machine learning?
Li Luyang: First of all, in terms of learning after entering the field, after the self-driving car enters the field, it will use visual information to first build an environmental map. Through the environmental map and visual recognition, you can identify the main feature information in the environment, such as the main road , Shelves, cargo connection area, charging area, etc. After that, the vehicle will visually capture the information, such as the information of each storage location, the classification information of the goods, and the human-computer interaction information, and repeatedly compare with the information in the database to continuously learn the details.
Reporter: Can you talk about the composition of our R & D team?
Li Luyang: At present, there are nearly 100 people in our company, and 70% of them are R & D personnel, of which 20% are doctors. Our R & D team is mainly a PhD from the University of Tokyo and a PhD from the Chinese University of Hong Kong. This is also our founding team. Professor Liu Yunhui of the Chinese University of Hong Kong is both the founder and technology leader of our company.
Reporter: What do you think of the influence of interdisciplinary science in the field of robotics?
Li Luyang: Our company is in the A round. It is led by Zhongding Capital. Here I need to quote a total sentence from our investor director Tang Tao: The most accessible thing in the world is rigorous logical reasoning, and the rarest thing. It is innovative thinking and ideas introduced from other fields. So I think that the introduction of cross-disciplinary thinking is the driving force for a major innovation breakthrough in an industry. The core and major difficult problems must not be solved by the knowledge of the industry, but must be solved by other stones. In my opinion, interdisciplinarity is very important.
Li Luyang: Finally, thank you for the invitation of the conference. The World Robot Conference has been developing for 5 years, and each year has a major breakthrough. Robots in the future are honored to join such a platform. Thank you! Our booth is at Hall E 204. Welcome everyone to visit!
The full link of the live broadcast room http://cloud.quklive.com/cloud/h5/1566399411919743?from=timeline
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