Industry Development Analysis of Intelligent Service Robot

The breaking of AI , the decline of the cost of central components, and the appearance of "pioneer" products have led to the rise of intelligent service robots in the past two years. For a time, voice interaction, dialogue question and answer, face recognition, environmental perception, autonomous positioning and navigation have become the standard of intelligent robot products.

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In the commercial field, intelligent robots begin to appear in banks, hotels, shopping malls, hospitals, schools and other different places, playing the roles of customer service, welcome, shopping guide, assistant and teaching assistant; Including UAVs and self-driving cars in the field of large robots, the degree of intelligence continues to improve, which is expected to reshape the traditional professional business models and competition patterns such as logistics, transportation and travel in the future.

So, how does the intelligent service robot profession develop? What are the problems now? What factors do the real burst and spread depend on? This article will help you sort out the development status of intelligent service robots at that time from the dimensions of industrial chain, career pattern, key skills, and career application, and answer the above questions for you.

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Industry Development Analysis of Intelligent Service Robot

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Career Map of Intelligent Service Robot: Three Levels and Two Types of Players

The industrial chain of intelligent service robots includes central components such as chips and sensors, AI skills such as pictures, voice and semantics, robot operating systems, and the application of upper products.

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Skill companies include companies that provide AI chips, operating systems, voice, semantics, pictures, perception and other underlying and central skills. The representative enterprises include Horizon, Cambrian Technology, Turing Robot, Zhizhen Intelligence, Yunzhisheng, Sibichi, Jietong Huasheng, ROOBO , Triangle Beast Technology, Huajie Amy, Obi Zhongguang, Silan Technology, etc.

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Industry Development Analysis of Intelligent Service Robot

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Although some companies not only export skills, but also make consumer products (such as ROOBO , go out and ask), and some product companies rely on independent research and development of their central skills, from the perspective of the whole profession, skills and products are two completely different tracks with their own unique judgment dimensions.

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Intelligent service robots generally include three major skills: chips, operating systems, and AI skills. In the meantime, AI skills include perception, interaction and motion control skills. It can be said that each skill is at a different stage of development, with its own problems and challenges.

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Chip

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Operating System

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Android is still the mainstream of intelligent robot operating system, and ROS , a new operating system specifically for robots, is gradually spreading from scientific research institutes to the industry. Turing Robot and Zhizhen Intelligence, which do semantic analysis in China, have also developed their own robot operating systems, Turing OS and iBot OS, respectively, but they are still only used on a small scale.

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Compared with the new robot operating system, Android not only has a sophisticated and complete industrial chain, lower cost, but also has a large number of developers, so it now seems to have more advantages. But Android 's strength lies in touch interaction, while new interaction methods such as voice, pictures and gestures are slightly inferior. In the future, Google may launch an operating system specifically for robots by improving the existing Android system, and the new robot operating system is expected to gradually spread and occupy the mainstream.

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AI skills include perception, interaction and motion control. Perception is equivalent to human facial features and skin, interaction is equivalent to human dialogue, gesture and expression communication, and motion control is equivalent to human limb movement and walking ability.

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2 . Interaction

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At present, the human-computer interaction skills in the field of intelligent robots mainly include speech recognition, semantic understanding, picture recognition, somatosensory/gesture interaction, etc.

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Semantic understanding: Semantic understanding skills are currently less sophisticated than speech recognition. Although Chinese speech recognition and semantic understanding companies have natural language barriers and advantages, Chinese is much more difficult to hyphenate and disambiguate than English. In addition, the bottlenecks of speech recognition in far field, noise, accent, repetition and punctuation still need to be solved by semantic understanding.

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Industry Development Analysis of Intelligent Service Robot

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3 . Motion control

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Early intelligent service robots (such as ASIMO , NAO , etc.) Have the function of motion control. But the emergence of "pioneer" products such as JIBO and Amazon Echo has brought a wave of desktop robots. Because of the high cost of servo motors required for motion control, most robots requiring motion simply adopt the wheel plan.

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Commercial service robots

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Commercial service robots have just started in the fields of medical treatment, customer service, logistics, education, catering and so on. However, between different occupations, the application status and the progress of shopping malls will also be quite different.

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The medical field requires high mechanical operation and high-precision positioning ability of robots, while the logistics field emphasizes the functions of robot motion navigation and transfer, both of which have weak demand for interaction. In contrast, customer service, education, catering and other professions require robots to have strong interactive ability to complete communication, education, service and other intentions.

Industry Development Analysis of Intelligent Service Robot

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The most important problem to be solved by intelligent service robots in the commercial field is to reduce the manual burden, improve the operation power, gradually replace some simple and repetitive brawn or accounting and reasoning operations, and reduce the human cost of enterprises. Now these needs also exist in several major application areas. However, the biggest problem faced by commercial service robots at that time was that the cost of using robots was too high, hundreds of thousands or millions of yuan, and the experience was not good enough for enterprises to replace existing plans. Some banks, hotels and restaurants buy intelligent service robots more for publicity and show.

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Three Career Trends Drive Intelligent Service Robot Mall to Take off

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Although intelligent service robots are a new skill industry, their growth will still follow the path of similar shopping malls such as smart phones, from the breaking of central skills to the presentation of new products, and then first used in some collectives and shopping malls, with the increase of output value, the cost will be greatly reduced, and then large-scale application and popularization will be completed.

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At that time, the intelligent service robot market has gone through the first two stages and is in the early stage of the third stage. Next, with the gradual expansion of the use of shopping malls, the progress of output value and the decline of cost, a large-scale burst will come to fruition.

Guangzhou Aobo Information Technology Co., Ltd. is a high-tech enterprise dedicated to the field of commercial intelligent robots . It integrates R & D, production, after-sales and service .

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Government institutions and large and medium-sized enterprises, automobile finance related enterprises, railway transportation related enterprises are our highly cooperative partners. Through the combination of artificial intelligence and Internet of Things technology, the company provides enterprise customers with human-computer interaction, connection management,

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Through the combination of intelligent robots and the Internet of things , AoBo Robot is committed to becoming a leading AIoT solution provider in the field of enterprise-level services in China.