Future development direction of mobile robot control system 

International research on robots began at the Stanford Research Institute in the late 1960s, and the first robot with autonomous mobility was built in 1972. By the late 1970s, international research on mobile robots reached a climax, and by the mid-to-late 1980s, the design and manufacture of robots began to sweep the world. A number of world-renowned companies such as Honda and Sony in Japan and General Motors in the United States began to devote themselves to the development of mobile robot motion platforms. At that time, most of the mobile robot motion platforms studied were used as robot experimental platforms in laboratories or research institutions to promote the development of mobile robot research in many aspects. With the continuous development of robot technology and its increasing application in military and industrial fields, a new type of robotics for theoretical research, design, manufacturing and application of robots has gradually formed and received more and more attention. The research on mobile robots will also enter a new stage.

Mobile robots can sense the external environment and display their own status through their own sensors. When encountering obstacles, they can move autonomously towards the moving target and complete certain special functions of the robot system. The most ideal mobile robot currently studied has a high level of intelligence, does not require human intervention, and can autonomously complete the tasks set in the program in various responsible external environments. However, most of the current international research on mobile robots is in the experimental stage. Most of the more practical robots on the market are semi-autonomous and mobile, requiring external intervention and performing set tasks in a specific environment. Remote control robots on the market today are even more inseparable from human control.

Now, the concept of robots has gradually reached a consensus internationally. Generally speaking, people can accept the statement that robots are machines that rely on their own power and control capabilities to achieve various functions. The United Nations Organization for Standardization adopted the definition of robots given by the American Robotics Association: "A programmable and multifunctional manipulator used to carry materials, parts, and tools; or a specialized system with changeable and programmable actions to perform different tasks." The evaluation criteria for robot capabilities include: intelligence, sensation and perception, including memory, calculation, comparison, identification, judgment, decision-making, learning and logical reasoning; function, referring to flexibility, versatility or space occupancy, etc.; physical energy, referring to force, speed, continuous operation ability, reliability, interoperability, life, etc. Therefore, it can be said that robots are spatial three-dimensional coordinate machines with biological functions.

The emergence of new intelligent control algorithms can make mobile robots develop in the direction of intelligence, thus putting forward higher requirements for motion control systems. Through the study of intelligent robots, we are familiar with the development principles of their software and hardware, master the characteristics of their motion control, design intelligent robot control systems, and establish a stable and feasible platform for the subsequent functional expansion of my country's mobile robots. This platform can also serve as a public basic development platform for other types of robots. It is of great significance to realize the development of control systems for intelligent robots and lays the foundation for the development of later robots.

After a comprehensive analysis of the common types of mobile robot control systems at home and abroad, it is known that mobile robot technology covers many fields such as control technology, electronic technology, sensor technology, and information processing technology. In this regard, in the future development of this system, it is inevitable to start from the following aspects to achieve the improvement of the performance of the mobile robot control system.

More advanced sensing technology 

As a core branch of information technology, sensor technology is bound to be the development direction of mobile robot systems. Sensor technology is usually analyzed into contact and non-contact types. Among them, the former is composed of force and torque sensors and tactile sensors; the latter is composed of visual sensors, range detectors, and proximity sensors. In general, in the future development of mobile robots, their sensor technology must be greatly improved to meet the actual needs of mobile robot applications.  

Information processing technology is more efficient  

The so-called information processing technology in the field of mobile robots mainly includes pattern recognition technology, image processing technology, voice recognition technology, etc. Its function is to process the information obtained by sensors. In this regard, after analyzing the current development status of mobile robot systems, it can be seen that most of them use visual navigation technology, but the efficiency needs to be improved. Therefore, it is believed that the efficiency of information processing will be the core direction of future development.

Multi-sensor information fusion technology  

In the process of continuous development in the field of mobile robots, multi-sensors will inevitably be widely used to achieve better execution of robots. In the context of using multi-sensor technology, the system can effectively integrate the information obtained by the sensor, and filter the information to finally obtain more accurate information, thereby achieving the goal of improving work accuracy, and at the same time, it has a positive significance in improving controllability.  

Application of intelligent methods

In the current mobile robot system, although the role of intelligent algorithms is very significant, it has not been widely used due to many factors. The fundamental reason is that fuzzy logic cannot be used in unknown dynamic environments and cannot accurately extract fuzzy rules. In this regard, it can be seen that intelligent methods still have a relatively broad development space in the field of mobile robots, and research efforts in this field need to be increased in the future.   

Conclusion  

In the field of robotics, mobile robots are a core branch, and as the role of mobile robot control systems becomes increasingly prominent, domestic scholars are gradually increasing their research in this field. Through the research of this article, after analyzing the current domestic and foreign mobile robot control systems, it is found that there is still a certain gap between China and developed countries. In this regard, in the future research stage, the integration of mobile robots with sensor technology, information processing technology, etc. should be promoted.