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        Technological Development and Application of Industrial Robots

        It is a process that utilizes modern computer science and technology to automatically simulate the human brain, in addition to automatically issuing various behavioral control commands similar to those based on humans, in order to complete various daily operational processes. Therefore, using it can improve the operational efficiency of the system, make the data operation of the system more flexible and stable, and enhance the comprehensive automation data processing capabilities of various electronic devices.

        Anthropomorphic features of industrial robots:

        One of the prominent features of industrial robots is anthropomorphism. The structure of the mechanical arm is very similar to that of the human forearm, forearm and wrist. It can imitate various actions of the human arm and realize various anthropomorphic operations through computer control. At the same time, industrial robots have added various sensor functions, such as visual sensors, sound sensors, and force sensors, to enhance their perception of external things and facilitate their adaptation to external working environments.

        Operating mechanism:

        With the continuous improvement of China's current technological level, industrial robots have been widely used in various industries, which not only helps to improve actual production efficiency but also highlights the modern production situation. Good application results have been achieved in the daily application of industrial robots. Therefore, it is necessary to clarify the main technical points of industrial robots and achieve continuous innovation and adjustment in technology, so as to effectively broaden the development prospects of industrial robots and promote the stable development of China's social economy. In industrial robots, the operating system plays an important role and is also at the core.

        The operational functions of industrial robots are very powerful, and they can achieve technological operation and innovation according to actual work needs and requirements. In addition, as operation technology is the main working mode of industrial robots, it is necessary to achieve diversified development of operation technology in order to improve actual work efficiency and level. In the development process of industrial robots, the operation technology has undergone significant transformation and progress, and has continuously expanded and extended from the main operating range of parallelograms in the past, forming an open operation mode. At present, the operational structure of industrial robots in daily operation is an open structure, which can not only meet various operational needs, but also help to enhance the application value of industrial robots.

        At the current stage of industrial robot design, a key integrated design approach should be adopted, integrating detection devices and reducers to build an integrated robot, thereby achieving continuous adjustment and optimization of functional structure. The role of control technology in practical implementation is very obvious. Therefore, it is necessary to achieve basic multi-directional innovation and integration based on the actual use of robots, and improve the effectiveness and level of subsequent work through diversified structural functions, so as to effectively optimize and improve the control system of industrial robots, meet practical work needs and requirements, and achieve diversified development.

        The application of transportation robots in the field of intelligent manufacturing:

        When industrial transportation robots are put into application, they can command the task objects and corresponding transportation program requirements correctly, and can also develop programs to correctly execute various corresponding transportation tasks according to clearly set requirements in advance. It is precisely because of this technological advantage that they can be widely used in the field of modern logistics and transportation technology. In the 1960s, a large number of relatively simple high-speed industrial handling robots were gradually used in the logistics and transportation work. According to the statistics of the relevant national industry authorities, at present, there are more than 100000 high-speed industrial handling robots in the first class of the world, which are widely used, especially in some logistics work that often requires high-speed handling of large and valuable objects. At the same time, with the continuous progress and development of China's robotics industry technology, various related application technologies of handling robots are also constantly advancing. Therefore, with the continuous development of our society, industrial robot technology will become one of the core technologies in the field of intelligent manufacturing in China. Only through continuous innovation and development can relevant technical personnel ensure that in the future development trend, industrial robot technology can be widely applied and developed in many fields around the world.

        Welding robot automation technology:

        The automation technology of welding robots mainly includes fuzzy control technology, visual control technology, and neural network control technology. Each type of control technology plays a corresponding role in the welding process of parts [4]. Visual control technology generally refers to the use of visual sensing devices to conduct in-depth processing of the welding robot operation area, and then record the captured video images and parameter information in the computer system at any time, providing further technical support for relevant welding robot CNC programming technicians, and accurately positioning the position of the welding robot through research on relevant parameter information. Neural network control technology refers to a method of computer simulation of human thinking. Due to the frequent occurrence of unexpected situations during the welding process of welding robots, neural network control technology can quickly respond to the conditions encountered during the welding robot's work process. However, the organic application of neural network control technology in the welding robot control system, Finally, achieve welding results that meet relevant technical standards.


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