What kind of sensors do robots have

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In these applications, a 9 degree of freedom 9DOF sensor or inertial measurement unit IMU with a 3-axis accelerometer, 3-axis gyroscope, and 3-axis magnetometer is used. Mobile robots need to use sensors to capture real-time obstacle information, including size, shape, and position information, to achieve obstacle avoidance. There are many kinds of sensors used for obstacle avoidance. At present, common sensors include visual sensors, laser sensors, infrared sensors, and ultrasonic sensors. In the "Industry 4.

As an important participant in the automated manufacturing process, industrial robots directly affect the level of industrial manufacturing automation. As the requirements for the complexity and precision of industrial products continue to increase, the applications and requirements of robots are becoming more and more complex and demanding.

The computing platform for robots has expanded from traditional PC platforms and embedded platforms to smartphones and tablets for mobile devices, sensors equipped with robots have developed from simple photoelectric switches and touch switches to high-level sensors such as tactile, acoustic, and visual. The communication method between the robot servo system and the control system has also changed from the original "pulse".

The robot control system is changing towards openness. The development of technologies such as the Industrial Internet of Things, big data analysis, and virtualization has also made robots better integrated into manufacturing applications.

We use cookies to optimize and continuously update it according to your needs. The settings can be changed at any time under "Privacy". What Sensors do Industrial Robots Need? Industrial robots use a large number of sensors to achieve good operation and control in industrial automation production processes.

For example, collaborative robots integrate torque sensors and cameras to ensure the best perspective and safety. What sensors are integrated with industrial robots? Published: May 21, One of the main cores of the smart factory-industrial robots Robot automation is rapidly progressing technology. They are: Drive system: place a transmission device for each joint, that is, each degree of freedom of movement, to make the robot move.

Mechanical structure system: It consists of three parts: body, arm, and end manipulator. Each large piece has several degrees of freedom, forming a multi-degree-of-freedom mechanical system. The arm is generally composed of an upper arm, a lower arm, and a wrist.

The end manipulator is an important part that is directly mounted on the wrist. It can be a two-finger or multi-finger claw, a paint spray gun, a welding gun, etc. Sensing system: Obtain meaningful information in the internal and external environmental status, improve the maneuverability, adaptability, and intelligence level of the robot. Robot-environment interaction system: A system that enables the robot to interact and coordinate with devices in the external environment.

Human-machine interaction system: a device for humans to communicate with and participate in robot control. Control system: according to the robot's operation instruction program and the signal returned from the sensor, it controls the robot's actuator to complete the prescribed actions and functions.

Other sensors suitable for different applications There are many sensors on the market that are suitable for different applications. Obstacle avoidance sensor aimed at mobile robot Mobile robots need to use sensors to capture real-time obstacle information, including size, shape, and position information, to achieve obstacle avoidance. When the distance of D is close enough, the value of L will become relatively large.

If it exceeds the detection range of the CCD, although the object is very close, the sensor may not be seen. When the object distance D is large, the L value will be small, and the measurement accuracy will be deteriorated. Therefore, the measurement distance of common infrared sensors is relatively short, which is smaller than that of ultrasonic waves, and at the same time, the distance measurement also has a minimum distance limit.

In addition, for transparent or nearly black-body objects, infrared sensors cannot detect distance. But compared to ultrasound, infrared sensors have higher bandwidth. Laser sensor: Common laser radars are based on time-of-flight ToF. A simpler solution is to measure the phase shift of the reflected light. The sensor emits modulated light of a certain amplitude at a known frequency and measures the phase shift between the transmitted and reverse signals. Visual sensor: There are many common computer vision solutions, such as binocular vision, depth camera based on ToF, depth camera based on structured light, etc.

The light emitted by the depth camera based on structured light will produce a relatively random but fixed spot pattern. The light spot hits the object because the distance from the camera is different and the position captured by the camera is also different.