The three major trends that intelligent service robots need to pay attention to

The intelligent service robot industry chain covers core components such as chips and sensors, AI technology such as image, voice and semantics, robot operating system, and application of upper-layer products. At present, although the popularity of intelligent robots is the trend of the times, the players in the industry still have to face many uncertainties and tests of life and death.

The breakthrough of AI technology, the decline of core component costs, and the emergence of “pioneer” products have driven the rise of smart service robots in the past two years. For a time, voice interaction, dialogue question and answer, face recognition, environment perception, and autonomous positioning navigation have become the standard of intelligent robot products.

In the home field, intelligent robots based on speakers, desk lamps, pets, and IP images emerged in an endless stream. They began to enter the family through the functions of early education, companionship, and smart butler; cleaning robots such as sweeping, mopping, and wiping windows also realized barrier navigation and The route planning function, the performance is continuously improved, and it is widely popularized in the home field.

In the commercial field, intelligent robots began to appear in different places such as banks, hotels, shopping malls, hospitals, schools, etc., playing the role of customer service, welcoming, shopping guide, assistant, teaching assistant; drones and self-driving cars included in the field of large robots. The degree of intelligence has also continued to increase, and it is expected to reshape the traditional business models and competitive landscapes of logistics, transportation and transportation in the future.

However, because technology and engineering are still immature, consumer expectations are too high, habits have not yet been developed, and penetration into traditional industries takes time. Currently, the smart service robot market sees only capital and enterprises, and there is no demand-side application. There are also many opinions in the industry about the outbreak of the service robot market.

So, how is the smart service robot industry going? What are the current problems? What factors really depend on the real outbreak and popularity? This article will help you sort out the current development status of intelligent service robots from the industrial chain, industry structure, key technologies, and industry applications, and answer these questions for you.

Note: Robots can be divided into industrial robots and service robots according to industry applications. According to the degree of intelligence, robots can be divided into programmable robots, adaptive robots, and intelligent robots (perceptible, recognizable, interactive, judgment, reasoning, planning, and learning). . This article focuses on smart service robots, including home/personal intelligence service robots, business intelligence service robots, and more. Although drones and driverless cars are also included, this article will not be discussed for a while, and relevant industry analysis will be presented for you in the future.

Smart service robot industry map: three levels, two types of players

The intelligent service robot industry chain covers core components such as chips and sensors, AI technology such as image, voice and semantics, robot operating system, and application of upper-layer products.

Figure: Smart Service Robot Industry Map

Currently, players in the field of intelligent service robots can be broadly divided into two categories: technology companies and product companies.

Technology companies include companies that provide the underlying and core technologies of AI chips, operating systems, voice, semantics, imaging, and perception. Representative companies include Horizon, Cambrian Technology, Turing Robot, Smart Intelligence, Yunzhisheng, Sibi Chi, Jietong Huasheng, ROOBO, Triangle Beast Technology, Huajie Amy, Obi Zhongguang, Siyu Technology, etc.

Product companies refer to companies that develop products in sub-sectors or applications. Representative companies include Rokid, ROOBO, Cobos, Kangliyoulan, etc. in the personal/home sector, Tianzhihang and Baihuiweikang in the commercial field. , pangolins, etc., as well as the best choice across consumer and commercial. Of course, there are also DJI innovations such as drones and unmanned vehicles, Baidu, and the company.

Although some companies export both technology and consumer products (such as ROOBO, go out to ask questions), some of the company's core technologies rely on independent research and development, but from the perspective of the entire industry, technology and products are two completely different circuits. , have their own unique judgment dimensions.

Among technology companies, hardware and core component manufacturers focus on improving technology and reducing costs. AI technology companies use algorithms and data as their core competitiveness. For product companies, demand positioning is the core, and product experience, branding, marketing, and ecology are important barriers. Therefore, when judging the value of different companies and their future direction, they should start from the track where the company is located and its own positioning.

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