Machine vision systems and sensors, who is the "real life" of industrial robots?
[Machine vision systems and sensors, who is the "real life" of industrial robots?] For many years, industrial robots have not been able to monitor their surroundings. As more and more different sensors are introduced into robots, they can now "feel" what they are dealing with, can "see" what they are doing or who are around them. However, force sensing is less popular than a machine vision system, although it is as useful as a machine vision system and sometimes even more useful. The visual system is powerful, but it does not solve all the problems, and it is expensive. Let's introduce what applications the force sensor can explode the visual system and save you money and practicality. Force sensing can be achieved with a force sensor embedded in the robot arm, and most of the current collaborative robots on the market already have. I've built a force feedback loop on the robots and they can do what I want. The only drawback to using the built-in force sensor is that you don't have a device with the same accuracy that can "read" the force. Most of the built-in force sensors measure force by reading the robot's current. Of course, some force sensors use other methods, such as determining the amount of force applied to them based on the deformation of the material. 1. Constant force Torque sensors were first manufactured and used for applications such as grinding and polishing. Because these applications are difficult to automate, because the robot needs some force feedback to determine that it is pushing enough power. By introducing a force feedback loop in the program, you can easily automate these applications and achieve consistency in the manufacturing process. In this case, you need to use an external device instead of the embedded solution provided by the robot manufacturer. 2. Target positioning We often come in contact with customers who often think that the only way to locate and quantify parts is to use visual sensors. But in reality this is not the only solution. It is undeniable that the visual system is a good way to locate or quantify parts, but it is also feasible to use force sensors to find and detect parts. Determining their position on the XY plane is one thing, and determining their height is another matter. In fact, to do this requires a 3D vision system. If you are a bunch of objects, you don't need to know the exact tree of the whole pile of objects, you just need to go to the pile of objects every time. The robot only needs to determine the height of the stack and then adjusts its grip height. Another search function that uses force sensors is the "free mode" of the sensor. This may be a parameter that fails to make full use of the FT sensor. "Free mode" or "zero gravity" mode will let you "liberate" the robot's axis, which will enable it to improve its compliance. For example, if you want to tighten a part on a CNC machine, you can free 2 axes to perfectly close the part while still maintaining a certain grip. This allows the force to act on the center of the part and there will be no additional force on the axis of the robot. Repeated force If you are considering using robots for assembly tasks, you want robots to repeat the same tasks over and over again. However, one of the reasons that assembly tasks are difficult to automate is that they require operators to perform force tests. By introducing FT sensors, you can feel the external forces applied during the assembly process. Robots need to apply very precise forces when they put batteries on mobile phones. Since these parts are easily damaged, it is really difficult to assemble them intact. This is why a very low force threshold is set to prevent misplacement and damage of components. 4. Weighing things The application above is to separate the orange and blue ice hockey. However, the way we use them has nothing to do with their color. In fact, they are related to their weight. Orange pucks are heavier than blue pucks, and sensors can distinguish them based on weight. This can also be used to distinguish between different components with similar shapes. However, in real life, it is very helpful to know if you have the correct object or if the object has fallen. It can really help you in your production process. Torque sensors make this easy. 5. Manually boot Most of the collaborative robots are manually guided using the built-in FT sensor, but traditional industrial robots do not have this type of sensor built in. This is why your traditional industrial robot needs an FT sensor. With it, you can manually teach the teaching robot without using a teach pendant. As long as an FT sensor is used, the robot can be taught by setting the start and end points of the robot and the linear trajectory in the middle. As you can see, force feedback is very useful and can be applied to many different applications. You can analyze your workflow to see if you can use force sensors instead of vision systems. Most of the time, the force sensor is easier to integrate, does not require an integrator, and you can do it yourself. What is the robot A robot is a machine device that performs work automatically. It can accept human command, run pre-arranged procedures, or act according to the principles set out by artificial intelligence. Its task is to assist or replace human work, such as production, construction, or dangerous work. What is an industrial robot Industrial robots are multi-joint robots or multi-degree-of-freedom robots for industrial applications. Industrial robots are machine devices that perform work automatically, and are machines that perform various functions based on their own power and control capabilities. It can accept human command, or it can run according to pre-programmed procedures. Modern industrial robots can also act according to the principles established by artificial intelligence technology.
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