Abstract
The position of mechanical arm in people’s life is getting higher and higher. It replaces the function of human arm, moving and moving in space. Generally, the structure is composed of mechanical body, controller, servo mechanism, and sensor, and some specified actions are set to complete according to the actual production requirements. The manipulator has flexible operation, good stability, and high safety, so it is widely used in industrial automation production line. With the development of science and technology, many practical production requirements for the function of the manipulator are more and more refined, especially in the high-end research field. For example, medical devices, automobile manufacturing, deep-sea submarines, and space station maintenance put forward higher requirements for it. In terms of miniaturization and precision, it can meet the needs of scientific research and actual production. But these are inseparable from the motion control system technology. This paper mainly introduces the research of manipulator control system based on AI wearable acceleration sensor, aiming to provide some ideas and directions for the research of wearable manipulator. This paper presents the research method of manipulator control system based on AI wearable acceleration sensor, including the establishment of manipulator kinematics model, common filtering algorithm, and PI algorithm of speed control system. It is used for the research and experiment of manipulator control system based on AI wearable acceleration sensor. The experimental results show that the average matching rate of the manipulator control system based on AI wearable acceleration sensor is as high as 88.89%, and the stability of the feature descriptor is high.
Highlights
With the upgrading of modern sensors and microprocessors, robotics has developed rapidly
Most of these control methods are industrial manipulators, which are often used in assembly lines in factories
E innovations of this paper are as follows: (1) the commonly used filter processing algorithm is proposed for the research of the robotic arm control system based on the AI wearable acceleration sensor; (2) the PI algorithm of the speed control system is proposed for the AI wearable acceleration sensor; (3) based on the research on the arm control system, a wearable robotic arm that can be grasped collaboratively is designed
Summary
With the upgrading of modern sensors and microprocessors, robotics has developed rapidly. Mathematical Problems in Engineering processing or command input from external devices Such control methods are usually complicated and cumbersome and require operators to familiarize themselves with specific programming methods or according to different types of manipulators control instruction. In order to provide a more positive and pragmatic perspective, Jarrahi’s research emphasizes the complementarity of humans and artificial intelligence and explores how to play their respective advantages in the organizational decision-making process, which is usually uncertain, complex, and ambiguous. Choi and Kang proposed a software architecture of a wearable vital sign measurement device based on real-time user behavior recognition. In order to solve this problem, Navarro-Alarcon et al have developed a new algorithm for real-time calculation of soft object deformation parameters, which provides valuable adaptive behavior for deformation controllers, which cannot be achieved by traditional fixed model methods. E innovations of this paper are as follows: (1) the commonly used filter processing algorithm is proposed for the research of the robotic arm control system based on the AI wearable acceleration sensor; (2) the PI algorithm of the speed control system is proposed for the AI wearable acceleration sensor; (3) based on the research on the arm control system, a wearable robotic arm that can be grasped collaboratively is designed
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