I'm writing a paper and someone give me the significance of a mechanically intelligent society. Words more east coast, thank you!

Productivity is constantly progressing, pushing the progress and innovation of science and technology to establish more reasonable production relations. Since the industrial revolution, human labor has been gradually replaced by machinery, and this change has created enormous wealth for human society, greatly promoting the progress of human society. Today, mechatronics, mechanical intelligence and other technologies have emerged and have become the main theme of the times. Human beings give full play to the subjective initiative to further enhance the efficiency of the use of machinery, so that it creates more and more huge productivity for us, and to a certain extent, to maintain social harmony. The emergence of industrial robots is a milestone in the history of mankind in the use of machinery for social production. In developed countries, industrial robots automated production line equipment has become the mainstream of automation equipment and the future direction of development. Foreign automotive industry, electronic and electrical industry, engineering machinery and other industries have been the use of industrial robot automation production line to ensure product quality, improve production efficiency, while avoiding a large number of industrial accidents. Many countries around the world for nearly half a century the use of industrial robots practice shows that the popularization of industrial robots is to achieve automated production, improve social productivity, promote the development of enterprises and social productivity effective means. The history of the robot is not long, in 1959 the United States Ingeborg and DeVore manufactured the world's first industrial robot, the history of the robot really began. Dewall had invented a system in 1946, can "re-enact" the recorded movement of the machine. 1954, Dewall and obtain a patent for programmable manipulator, this mechanical arm according to the program to work, according to the different needs of the work of the preparation of different programs, so it has the versatility and flexibility, Ingberger and Dewall are researching robotics, and the robot is not very long. Ingeborg and Dewall are studying robotics, that the automotive industry is most suitable for work with robots, because it is a heavy machine to work, the production process is more fixed. 1959, Ingeborg and Dewall joined forces to manufacture the first industrial robot. China's 1993 robot installed base of about 1,000 units, accounting for only 0.16% of the world, seems insignificant, of which, the proportion of domestic robots is even lower. At present, although the total number of robots in China is relatively small, but the domestic market demand for robots is very large, and is on the rise. In the country's "seventh five-year plan" and "eighth five-year plan" research and "863" program and other impetus, China's robotics technology has been greater development. Intelligent robot research progress, in robot technology model, robot application engineering and robotics basic technology research and other aspects of significant achievements, tracking the international advanced robotics technology, shorten the gap with the international advanced level. 1993, the number of robots installed than in 1991 doubled the relative growth rate is very large. Although some people still have a vague understanding of China's development of robotics, but more and more people have realized that advanced robotics (including industrial robots and intelligent robots) is one of the key automation technologies, is essential to the modernization of China's important technology. This high technology involves flexible machining system (FMS), computer integrated manufacturing system (CIMS), intelligent manufacturing system (IMS), flexible automation (FA) and automated factory (AF), etc. Robotics is a product of multidisciplinary intersection, integrating kinematics and dynamics, mechanical design and manufacturing, computer hardware and software, control and sensors, pattern recognition and artificial intelligence, and other disciplines in the field of advanced theory and technology. Advanced theory and technology. At the same time, it is a typical class of automated machines, is a special automatic machine, CNC machine extension and development. At present, social demand and technological progress have put forward new requirements for the development of robots to intelligence. With the increasing pace of social progress, the demand for automation is expanding from the manufacturing industry to a wide range of fields such as engineering, society and life. The original automatic machines or industrial robots working in the structured environment of factories are suitable for large-scale, less flexible and changeable production environments, and there is no excessive requirement for the degree of intelligence, while the automatic machines needed in a wide range of fields have to meet different needs in different non-structured environments, and must have the ability of comprehensive integration and autonomy, and develop into intelligent robots with the characteristics of technology integration. Information technology needs carrier, with information technology to transform traditional industries and all walks of life, the final implementation of automatic machines to complete the materialization of information, robots is one of the carriers. On the other hand, the development of information technology, especially high-performance computers, communication networks and electronic devices, pattern recognition and signal processing, software and other technological advances, but also to promote the robot itself, "intelligence" and "physical" enhancement for the robot to the intelligent, diversified development conditions. Intelligent, diversified development to create conditions for robotics, robotics and information technology, this interactive development in the rapid development of information technology is more prominent today, which makes the robot's high-tech content has been continuously enhanced, always at the forefront of high-tech research. Robotics because of its own unlimited imagination, has always been the concept of innovation, technological innovation, whether in space, underwater, disaster relief, services, medical, entertainment ...... field, can be envisioned according to the need for intelligent robots with corresponding functions, and this imagination from low to high, never-ending. At present, because the concept of automation is rapidly expanding to a wide range of fields, and the development of information technology has greatly improved the degree of intelligence of robots, so that the expansion of this imagination space has the demand and the possibility of realization, which will be more incentive to conceptual and technological innovation around the robot, and contains the possibility of generating a variety of pre-competitive core technologies, which is inevitably an important point of competition in international science and technology innovation. Robotics is a product of multidisciplinary intersection, but with the robot application environment and the complexity of the task, in the non-structural complex environment of information synthesis and processing, planning and coordination of complex tasks for the difficulty and impact becomes prominent, need to use information feedback, optimization and control, coordination and integration of the theory, methods and technology to solve, the control of the discipline of the advantages of the optimization of the system and the comprehensive integration will be more and more in the intelligent robot to play a leading role. And intelligent robots as an automation system, whether in the theory and technology coverage and frontiers, and a variety of advanced information technology and the combination of physical realization of the diversity of any other type of automation system can not be compared. Therefore, the representation and status of robots in automation science and technology will be further recognized with the broadening of its application scope, the updating of the information technology used and the improvement of the degree of intelligence. In the development of robots towards intelligence, multi-robot collaborative systems are a class of technology integration platforms with coverage. If the intelligence of individual robots still only makes individual people smarter, multi-robot collaborative system not only requires a group of smart people, but also requires them to be able to cooperate effectively. So it not only reflects individual intelligence, but also reflects collective intelligence, which is an imaginative and innovative exploration of human social production activities. Multi-robot collaborative system has a wide range of application background, which is closely related to the expansion of automation to the non-manufacturing field, due to the application environment shifted to unstructured, multi-mobile robot system should be able to adapt to the change of the task as well as the uncertainty of the environment, and it must have a high degree of decision-making intelligence, so the research on multi-mobile robot collaboration is no longer purely the coordination of the control, but the coordination and cooperation of the whole system . Here, the way a multi-robot system is organized and controlled largely determines the effectiveness of the system. Multi-robot collaborative systems are also a model for realizing distributed artificial intelligence. The core of distributed artificial intelligence is to divide the whole system into a number of intelligent, autonomous subsystems, which are physically and geographically dispersed, can perform tasks independently, and at the same time can exchange information through communication and coordinate with each other, so as to complete the overall task, which is undoubtedly attractive for the completion of large-scale and complex tasks, and thus quickly gained wide attention in the military, telecommunications and other application areas. Multi-machine collaborative system is the specific realization of this concept, in which each robot can be regarded as an autonomous intelligent body, this kind of multi-intelligent body robotic system MARS (Multi-AgentRoboticSystems) has now become a new research hotspot in robotics. MARS (Multi-AgentRoboticSystems) is the most typical and promising application of multi-robot collaborative system, and also the most widely researched type of system due to its mobility function and its ability to accomplish complex tasks in non-structured environments. The architecture is the logical and physical information and control relations between robots in the system, as well as the distribution pattern of problem solving ability, which is the basis of the collaborative behavior of multi-mobile robots. Generally, the architecture of a multi-mobile robot collaboration system is divided into Centralized and Distributed. Centralized architectures can be planned with a single master robot (Leader) that has all the information about the system activities. Distributed architectures, on the other hand, do not have such a robot, where all robots are equal with respect to control. Although centralized architectures can achieve globally optimal solutions, distributed architectures are actually preferred because of the effects of uncertainty. In recent years, in the distributed architecture, in order to overcome the difficulty of modeling the environment by the robots in the real environment, and to improve the robustness and operational capability of the multi-mobile robot cooperative system, some scholars have adopted the behavior-based reactive control physical force, and some scholars have adopted the behavior-based reactive control architecture, which builds the cooperative behaviors on a reactive mode, speeds up the mobile robot's response to the outside world, and avoids the complex reasoning. response and avoids complex reasoning, thus improving the real-time performance of the system. Perception is the basis of intelligent robotic action, including "feeling" (sensing) and "knowing and understanding" (information fusion and utilization). The most important perceptual problems in mobile robots are localization and environment modeling [7]. o Although there are various localization methods such as odometer projection, vision-based road sign recognition, map-matching-based global localization, gyroscopic navigation, GPS, etc., GPS is currently the only way to achieve practical global localization in unknown unstructured environments. However, GPS is limited by accuracy, safety and other factors at the same time. How to improve the localization and environment modeling ability with the cooperation between robots is an important part of the research on the intelligence of multi-mobile robot systems. In recent years, a variety of simultaneous processing methods for environment map building and localization have been proposed [8], in which the environment modeling and localization processes are concomitant with each other, and both of them are progressively clarified in the process of iterating with each other, but they often require harsh environmental conditions. In addition, in many collaborative tasks only the relative position information between the collaborators is needed, such as formation and local collision avoidance, etc. Therefore, sensor-based local localization has also received attention, in which the robots detect each other through sensors such as ultrasonic, infrared, laser, or visual sensors, and then information fusion is carried out through statistical, filtering, and other algorithms, and from this we get the relative position of each robot in the system. China's research work in this field has started, under the 863 program, natural science fund and other funding, after years of continuous research, there have been a number of units in China, in the local field to achieve a high level of research, experimental research has also improved significantly, but also encountered many difficulties, especially in the field of complex systems control and distributed intelligence related to the basic research is obviously insufficient, the lack of a strong Theoretical and technical support, and most of the technology on the environment requirements are relatively harsh, which many reasons limit the development of multi-mobile robot systems and the transformation to practical systems in the face of the real world of unstructured and dynamic characteristics, highly adaptive, highly flexible collaboration theory, methods and technology will be the focus of future research.