Now is the era of artificial intelligence. With the development of science and technology, intelligent robot as a carrier has entered the public life. Robots and people are different, there is no inertia, so the production efficiency is greatly improved. If you want to buy an intelligent robot, you need to understand the use scenarios and parameters. So, what are the core parameters of intelligent robot? Which robot manufacturer is better?
Core parameters of intelligent robot
1. Degree of freedom: the number of independent axis movements of the robot. The degree of freedom of robot is the number of independent motion parameters needed to determine the position and attitude of robot hand in space. The opening and closing of fingers and the degree of freedom of finger joints are generally excluded.. The degree of freedom of a robot is generally equal to the number of joints. The commonly used degrees of freedom of robots are generally no more than 5-6.
2. Joint: a mechanism that allows the relative motion between parts of a robot arm.
3. Workspace: all space areas that can be reached by the robot arm or hand mounting point. Its shape depends on the degree of freedom of the robot and the type and configuration of each motion joint. The workspace of robot is usually represented by two methods: graphic method and analytical method.
4. Working speed: the distance or angle of rotation of the center of the mechanical interface or the center of the tool in the unit time when the robot moves under the working load and at a constant speed.
5. Working load: refers to the maximum load that the robot can bear at any position within the working range, generally expressed by mass, moment of inertia and moment of inertia. It is also related to running speed and direction of acceleration. Generally, the weight of workpiece that can be grasped during high-speed running is defined as the bearing capacity index.
6. Accuracy: repeatability or repetitive positioning accuracy: refers to the difference degree of the robot repeatedly reaching a certain target position. Or under the same position command, the robot repeats its position dispersion several times continuously. It is a measure of the density of a column of error differences, that is, the degree of repetition.