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Robots based on artificial intelligence: more powerful than humans, more powerful
In March 2016, AlphaGo defeated Li Shishi in the Go game and made new progress in artificial intelligence again. Enterprises in China, Japan, and the United States are all concentrating their efforts on research and development of college robots. The college entrance examination robot will participate in the college entrance examination in 2017 and will not only strive to pass a test, but also plans to enter Peking University and Tsinghua University in 2020. In recent years, as the demographic dividend of countries has gradually declined and the labor price has risen, many companies have used robots to replace people and saved expenses. Within 5 to 10 years, we will enter the smart age. Robots with artificial intelligence are just as common as water, electricity, and automobiles in our daily lives. Everyone may own robots. Robots are not only manufacturing, service, and education. Alternative workers will also surpass humanity in military, investigative, and recreational fields. Robots have changed from science fiction to current scientific reality. With the rapid development of science and technology, robots based on artificial intelligence will become more and more powerful.
Scientists' latest research shows that one day, the number of robots may exceed humans. At present, scientists have invented a new software system that can be combined with humanoid robots to achieve remote operation of the network and enable humans to control multiple robots through smart phones. The software is called "Cloud Advanced Robotic Laboratory (CARL)" and can detect human controllers' body movements and simulate robot movements. This technology means that people can easily control multiple robots, and perhaps the next person can build a devastating robotic army. However, robots are not designed to be used exclusively or primarily to kill or injure humans. Human beings are responsible subjects, not robots, and want to ensure the possibility of finding out the responsible person of a certain robot.
From this point of view, robots and artificial intelligence will replace some of our known work, but in the process of substitution we will create new jobs, improve the quality of employment, and allow more people to devote themselves to scientific research and learn more. The unknown world benefits all humanity. The development of robots to date has been a huge system. According to the application of robots, robots can be divided into four major areas: industrial robots, service robots, special robots, and educational robots.
World Industrial Robot: Man-machine Cooperation Is the Inevitable Choice
Industrial robots can be subdivided into welding robots, handling robots, assembly robots, processing robots, and painting robots, depending on the application. With the rapid development of intelligent equipment, the advantages and role of industrial robots in global manufacturing are also growing. At the same time, industrial robots are in the vanguard position, whether it is the industrial 4.0 or the intelligent transformation of global companies.
Human-robot collaboration is a new form of industrial robot development. It combines human intelligence and high efficiency of robots to complete operations. In simple terms, “human†directly operates robots with “handsâ€. Human-robot collaboration is an inevitable choice for the evolution of robots. It is characterized by safety, ease of use, and low cost. Ordinary workers can operate it like an electric appliance.
The International Robot Federation report predicts that from 2013 to 2016, the global industrial robot market will grow at an average annual rate of 6%. China is the leader in this growth trend, with an average annual growth rate of 15%.
Artificial intelligence was first applied to the field of industrial robots, mainly machine vision and deep learning. In 2014, the global machine vision continued to rise, reaching US$3.67 billion. Mainly in North America, Germany, Britain, Japan, China and other regions and countries, of which China accounted for 8.1%, it is estimated that by 2018 the global market scale will reach 5 billion US dollars. 2016 is the first year of in-depth learning. In-depth learning is becoming commercial and open source. A large company has cooperated with the introduction of deep learning robots, and engineers can choose to work on their own without the need for engineers to debug.
The service robot is a young member of the robot family. The service robot can be divided into personal/home robots and professional service robots depending on the application environment. At present, at least 48 countries in the world are developing robots, 25 of which have already been involved in the development of service robots. In Japan, North America and Europe, there have so far been seven types of 40 service robots that have entered experimental and semi-commercial applications. As the mutual learning and sharing of knowledge cloud robotics technology has achieved major breakthroughs, small-scale home assisted robots will significantly reduce production costs and will form an emerging market of at least US$41.6 billion before 2020; on the other hand, although disability assisted machines are still at a very early stage, Slow, but predictable rapid growth over the next 20 years.
Global Education Robots: Enhancing Competitive Power in the Digital Age
In addition to industrial robots and service robots, the future of educational robots will also be a very important field, such as the application of a smart learning environment as a teacher's assistant or a student's learning partner, as a learning companion or tutor in a home school, or as an elderly person. People provide care and rehabilitation and other situations.
On September 10, 2016, the Beijing Normal University’s Institute of Intelligent Learning officially released the “2016 Education Robot White Paper—Global Development Status and Trends†(hereinafter referred to as “White Paperâ€) at the 2016 International Service Robot Industry Summit Forum. This is the first white paper published by educational authorities in the field of education robots based on detailed survey data for the first time in the world. The "White Paper" proposes that educational robots are involved in the "service robots in the education industry" and "adolescent robot education". They will become another type of robot development field after industrial robots and service robots. Robots in the education field will enhance or extend the teacher's expression skills, knowledge processing capabilities, and communication skills; robotics education will arouse students' interest in and motivation for learning smart technologies, and will greatly improve students’ information technology capabilities and enhance competition in the digital age. ability.
The White Paper predicts that the market for global educational robots will reach 11.1 billion U.S. dollars in the next five years (2016-2021). Among them, the growth of the education service robot market will occupy an important role, and its service and content revenues are more likely to occupy more than 77% of the market as a whole.
In addition, based on the analysis of the problems existing in the global development of educational robots, the White Paper further proposes the use scenarios and effective approaches for the future development of educational robots. The relevant content not only serves as a strategic assessment tool for the research medium and long-term product R&D or market development of research institutions and companies, but also has guiding significance for accelerating the overall improvement of the education robot market, promoting the overall development of smart learning, and deepening the implementation of the smart learning environment. .
The path to industrialization of robots is increasingly clear
2016 was the 60th anniversary of the concept of artificial intelligence (AI), and AI also ushered in the new first year. With the large-scale AI fields being deployed by technology giants at home and abroad in late 2015, companies such as Google and Facebook launched an open source deep learning platform. In 2016, artificial intelligence technology R&D and industrialization entered a new era of rapid development. The field of artificial intelligence-related technologies and products such as deep learning, smart driving, smart homes, and robots have become the focus of attention. The industrialization of artificial intelligence technologies, smart cars, service robots, etc., has become increasingly clear.