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Visual positioning and grasping technology steps of machine-operated inspection robot

2026-04-06 03:12:54 · · #1

With the continuous advancement of technology and the accelerated development of industrial intelligence, inspection robots have become an indispensable and important component of modern industrial production and facility management. In the development of inspection robots, the application of visual positioning and grasping technology has become increasingly widespread, providing new possibilities for intelligent inspection and maintenance.

When the inspection robot precisely grasps and rotates the switch, we can't help but wonder: how does it do that? It turns out that the inspection robot combines advanced visual sensor technology, machine learning algorithms, and intelligent control systems. It can not only accurately identify and locate target objects, but also achieve precise grasping operations, bringing tremendous changes to the field of inspection and maintenance.

Operating a visual positioning and grasping technology for inspection robots typically involves the following steps:

1. Sensor configuration and calibration:

Configure the inspection robot with appropriate types of vision sensors (such as cameras, depth cameras, etc.) and ensure that the sensors are installed correctly in terms of position and angle. Perform sensor calibration to ensure that the sensors can accurately capture images or point cloud data of the target object.

2. Target detection and recognition:

Target detection and recognition algorithms are used to process images or point cloud data captured by sensors to identify target objects that need to be inspected or grasped. The location, shape, size, and other feature information of the target objects are determined, providing basic data for subsequent localization and grasping.

3. Attitude estimation and path planning:

Based on the target object's position and feature information, a pose estimation algorithm is used to determine the target object's pose and orientation in three-dimensional space. A path planning algorithm is then used to determine the robot's movement path and the motion trajectory of the grasping device, ensuring the accuracy and stability of the grasping process.

4. Control and execute the grabbing operation:

Based on the path planning results, the robot's movement and the operation of its gripping device are controlled to achieve precise grasping of the target object. During the grasping process, the grasping status is monitored in real time through visual feedback and sensor data, and necessary adjustments and corrections are made to ensure the successful completion of the grasping operation.

5. Subsequent processing and data recording:

The system performs post-processing on the grasping process, such as recording grasping results and saving relevant data. As needed, it categorizes, marks, or places the grasped target objects into designated locations, completing the relevant operations for the inspection task.

Switchgear live-line operation robot:

Force sensor technology for live-line operation robots in switchgear provides the collaborative robot industry with a safer and more intelligent interactive experience, higher adaptability, and lower-cost scenario-based application models.


The system comprises four main parts: a six-axis collaborative robotic arm, a high-torque mid-platform robotic arm, an end effector, and a motion chassis. Its core function is to perform typical work order operations on switchgear in power distribution rooms, replacing manual labor. To enable the operation of various work orders and different types of switchgear, a streamlined motion programming function has been designed. This function allows the robot's various functions to be broken down into independent motion units, which can be freely and flexibly combined and configured to form different operation processes.

With the continuous evolution of technology and the expansion of application scenarios, the visual positioning and grasping technology of inspection robots will play an even more important role in the future, contributing more to promoting industrial upgrading, improving production efficiency and ensuring production safety.


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