Commonly Used Sensors for Industrial Robots
Release Time:
2025-11-01
There are many sensors available on the market, suitable for a variety of applications—such as weld seam tracking sensors. Additionally, 6-axis force sensors are gaining increasing popularity. These sensors are typically mounted on grippers to detect and "feel" what objects are being grasped. They can usually measure forces and even map out the distribution of those forces, allowing users to pinpoint the exact position of the object. This, in turn, enables precise control over both the gripping location and the strength applied by the end-effector. Moreover, there are also tactile sensors that can detect changes in temperature.
Collision detection sensors come in a variety of different forms. Their primary application is to provide operators with a safe working environment, making it essential for collaborative robots to use them. Some of these sensors function as tactile recognition systems, detecting pressure through their soft surfaces. If pressure is sensed, they send a signal to the robot, prompting it to either limit or halt its movement.
Three-dimensional visual sensors represent a relatively new technology compared to two-dimensional vision. A 3D vision system typically requires two cameras positioned at different angles—or alternatively, it may use a laser scanner—to detect the third dimension of an object. Similarly, numerous applications today are already leveraging 3D vision technology. For instance, in parts handling, 3D vision systems are employed to detect objects, generate three-dimensional images, and then analyze these images to determine the optimal picking method.
Two-dimensional visual sensors—essentially, a camera capable of performing multiple tasks—are now widely available in the market and have already captured a significant share. From detecting moving objects to precisely locating parts on conveyor belts, 2D vision systems have been around for quite some time. Many smart cameras can identify components and help robots determine their exact positions, enabling robots to adjust their movements appropriately based on the information received.
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