• |
  • ENGLISH
  • |
  • 中文版
Load Cell knowledgeHome > Load Cell knowledge

Application of force sensor in robot

Views :
Update time : 2019-10-17 15:57:59

With the development of industrial technology, the application of robots is more and more extensive, its efficient work efficiency, greatly improve the production capacity of enterprises. However, industrial robots cannot detect their surroundings well, so they need to be combined with professional instruments to achieve some functions. As more and more different sensors are introduced into the robot, the robot becomes more sensitive and intelligent. In this brief introduction, there are five applications of force sensors in robots:


1. Constant force

Torque sensors were first manufactured for grinding, polishing and other applications. Since these applications are difficult to automate, the robot needs some force feedback to determine whether it is pushing hard enough.


By introducing a force feedback loop into the program, these applications can be easily automated and consistent with the manufacturing process. In this case, an external device is needed instead of the embedded solution provided by the robot manufacturer.


2. Target positioning

In practice, many users often believe that the only way to locate and quantify parts is to use visual sensors. But it's actually not the only solution. It is undeniable that 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 x-y plane is one thing; determining their height is another. In fact, to do that, you need a 3D vision system. If it's a bunch of objects, you don't need to know the exact tree of the whole bunch of objects, you just need to look for them every time. The robot only needs to determine the height of the pile of objects and then adjust the height of its grasp.


Another search function that USES force sensors is the sensor's "free mode." It is possible that the parameters of the force transducer have not been fully utilized. "Free mode" or "zero gravity" mode can "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 up two shafts so that the part fits perfectly, while still maintaining a certain grip. This allows the full force to be applied to the center of the parts, with no additional force applied to the robot's axis.


3. Repeat

If the user is thinking about using a robot for assembly tasks, expect the robot to be able to repeat the same task over and over again. However, one of the reasons assembly tasks are so difficult to automate is that they require operators to perform force tests. By introducing a force transducer, the external force applied during assembly can be felt. Robots need to exert very precise forces when they put batteries on mobile phones. It is really difficult to put them together in perfect condition because they are easy to break. This is why a very low force threshold is set to prevent misalignment and damage of components.


4. Weigh things

The image above is used to separate the orange and blue puck. However, the way we use them has nothing to do with their color. Actually, it has to do with their weight. An orange puck is heavier than a blue puck, and depending on its weight, sensors can tell them apart.


It can also be used to distinguish different parts that look similar. However, in real life, knowing if your grip has the right object or if the object has fallen off can be very helpful and can really help you in your production process. Torque sensors can easily do this.


5. Manual boot

Most collaborative robots are manually guided using built-in force sensors, but traditional industrial robots do not have these types of sensors built in. This is why traditional industrial robots need a force transducer. With it, you can manually guide the teaching robot without using the teaching device. As long as a force sensor, the robot can be taught by setting the starting point and end point of the robot, as well as the intermediate linear trajectory.