Examples are valid for:
TMflow Software version: 2.14 or above.
TM Robot Hardware version: HW 3.2 or above versions

Project Example : DH_Inspection_Project
Other specific requirements: None
Note that older or newer software versions may have different results.

Purpose #

• Long-term use, collisions, or overloading of the robot can cause small changes in link length or joint angles.
• This may lead to incorrect DH parameters and affect the robot’s accuracy.
• In this article, the built-in camera is used to detect pixel shifts of the Landmark, allowing for the detection and rough estimation  of robot’s accuracy.

Environment Setting #

Place the Landmark in a fixed position relative to the robot, ensuring that the built-in camera can capture the Landmark without being affected by any tools attached to the robot flange.

Import Project and Global Variable #

Import project “DH_Inspection_Project”.

Import Global Variable, select import from project and choose this project

Import variable “g_Initial_RobotBase_Point”,”g_LM_Pixel_Initial” and “g_threshold”.

TMflow Setting #

Define a camera position to locate the Landmark and ensure clear detection. The position can be adjusted as needed based on tool length or environmental constrains, as long as the Landmark’s pixel coordinates can be reliably detected.

Enter Setting and edit “Initial_Point”, overwrite this point with Landmark capture position.

Edit inspection vision job ”Detect_LM” to detect the Landmark, ensuring that the Landmark is clearly visible and stable.

Run Project #

Next, run the project and execute Set_Up as the initial configuration.

If Set_Up Fail occurs, it indicates that the Landmark detection is unstable. Please re-identify the Landmark and perform Set_Up again.

If Set_Up Success appears, it indicates that the setup is complete and a threshold value has been generated to serve as the reference for DH checking.

If a decrease in the robot positioning accuracy is observed, and a collision or DH inaccuracy is suspected, run the Check_DH process in this project to verify whether the error exceeds threshold 0.5 pixels. If the exceeds 0.5 pixels, it indicates an abnormal detection. Please contact the manufacturer or distributor to proceed with the robot verification process.