"Under the "winter wind", service robots continue to become popular. Is it a trend or a flash in the pan? This is undoubtedly a question of many people, and for the industry, this issue has been demonstrated by INDEMIND."
After 16 days of wonderful presentations, the Beijing Winter Olympics finally came to a successful conclusion. Recalling this period, it can be said that many off-court "stars" have become popular. In addition to Bing Dun Dun, various black technologies are also eye-catching. In the context of the Winter Olympics, AI, 5G, XR, 8K, 3D printing , cloud, digital twin, virtual human and other scientific and technological achievements are constantly being unveiled, among which service robots are constantly swiping screens in social media.
Among them, there are distribution robots, guidance robots, disinfection robots, and inspection robots, etc. During the Winter Olympics, they were responsible for the underwater torch relay, smart restaurants, logistics and distribution, and epidemic prevention and disinfection. Venue services provided a visible help.
In fact, with the continuous improvement of service robot intelligence and functional performance in recent years, my country's service robot market has experienced vigorous development under the background of the epidemic. According to Wind data, the annual output of service robots in 2021 is 9.2144 million units, a year-on-year increase of 48.9%; and according to IFR statistics, since 2016, the average annual growth rate of my country's service robot market has reached 27.5%. The size of the service robot market is expected to exceed 60 billion yuan.
At the same time, my country's aging trend is still accelerating, and the resulting labor shortage problem has become a realistic demand. According to the seventh national census, the proportion of my country's population aged 60 and above has reached 18.7%. , among which the proportion of the population aged 65 and over reaches 13.5%. In some cities and regions with serious aging, the proportion of the elderly over 60 years old even exceeds 40%. The labor force is reduced, and labor costs are rising. The practical tasks that need to be solved at the moment, and "replacing people with machines" has become the first choice for most enterprises. In addition, service robots are also in huge demand in fields such as education and medical care outside of labor-intensive industries. From many perspectives, service robots are ushering in their golden period of development.
However, despite the general trend, there are still challenges in the market development. Different from the mature 3C industrial chain, the basic industrial chain of robots is weak, and the upstream and downstream synergy is insufficient. In addition, the entry threshold is extremely high. Enterprises are facing pressures from technology, capital and other parties, resulting in the general implementation cycle of robot products from research and development to mass production. Longer, under the background that the market is constantly forcing product updates and iterations, the longer cycle means the embarrassing situation that the product may fall behind before mass production.
How to shorten the landing period and lower the entry threshold?
As one of the earliest suppliers of key AI technologies for robots in China, INDEMIND empowers the industry with new technologies.
Based on the upstream of the industry chain, INDEMIND has been deeply involved in the industry for many years, adheres to the continuity of technological innovation, has deep accumulation in key technologies and product development such as robot navigation, obstacle avoidance, decision-making, and AI interaction, and has product development and continuity for robot companies. Upgraded full-stack technology capabilities.
In 2021, INDEMIND has officially launched the RBN100 commercial robot AI solution, which can realize autonomous navigation, intelligent obstacle avoidance, AI recognition, Various functions such as human-computer interaction, intelligent decision-making and underlying driving are a set of standardized overall robot solutions.
It is understood that the product architecture of this solution is based on the INDEMIND standardization framework, using a combination of a standardized system (INDEMIND OS) + standardized module kits (including sensors, computing units, control hardware, chassis drives, etc.), with mature hardware reference design, in The application is not limited by factors such as environment, function, individual requirements and appearance selection, and the applicability and deployment efficiency have been greatly improved. It can fully cover various commercial scenarios and serve all types of robots.
"INDEMIND OS is the underlying AI system for robots, which can empower robots with AI capabilities, provide robots with complete and reliable sensor data processing, AI algorithm fusion and business logic execution capabilities, and provide robots with navigation and positioning, image recognition, path planning, intelligent Core functions such as decision-making provide the underlying algorithm support.”
It should be mentioned that, based on the INDEMIND standardization framework and the foresight of the market, the RBN100 commercial robot AI solution can not only realize various basic core functions for robots, but also meet the needs of robots from 0 to 1. Continuous functional development breaks the functional limitations of conventional technical solutions.
In terms of deployment efficiency, with the standardized service process of INDEMIND, it takes 30 days for the enterprise to get the prototype and 100 days for the final mass production, which can shorten the research and development time by 6-9 months on average, and save 80% of the research and development cost of nearly 10 million. In addition, by adopting the navigation module with binocular stereo vision as the core, the cost of navigation can be reduced by up to 70%, and the cost of the whole machine can be reduced by up to 40%.
At present, the RBN100 commercial robot AI solution will be officially launched to the market in 2021, and a number of large-scale industry orders have been formed, which have been widely verified by customers. In the future, as the installed capacity continues to increase, INDEMIND will further expand its deployment efficiency and cost advantages. At the same time, based on the feedback of massive data, the intelligence and functional performance of the solution will continue to improve.
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