The reason for the lack of precision of the robot - Epson

Create Date: 2024-8-30 12:03:23|Source: Epson/Epson

1. Joint fault

These errors indicate errors related to the displacement values fed by the encoder of the robot's active joints. They indicate the difference between the movement reported by the sensor (i.e., the encoder) and the exercise of the joint. These differences are mainly caused by errors in the sensor itself and by the offset (i.e., the zero or cardinal position of the moving joint) caused by the zeroing (or homing) of each moving joint.

                            The reason for the lack of precision of the robot - Epson

2. Kinematic faults

The motion element is related to the common sense of the robot's motion model. A model that does not fully represent the shape of the robot is the root cause of the error. The main causes of kinematic faults are summarized as follows:

1) The difference between the nominal length and the practical length of the robot connecting rod is mainly caused by the fabrication and assembly tolerances.

2) A few characteristics of the robot component (e.g., parallelism, orthogonality).

3) Position error of the reference structure: the robot base reference structure related to the workpiece reference structure (also known as the cell structure or international structure), and the tool reference structure robot related to the flange structure (i.e., the final reference structure).

3. Non-kinematic fault

The non-kinematic elements are attributed to the mechanical properties of the robot components and can be summarized as follows:

1) The stiffness of mechanical components, such as the robot's connecting rods and gearbox.

2) Mechanical voids (e.g. gearbox clearances).

3) The effect of temperature on the structure and mechanical components of the robot.

When it comes to industrial applications that require precision robots to complete mission-critical tasks, knowing where to look and how to reduce errors and improve accuracy will undoubtedly improve production results. The use of laser vision sensors to improve measurement accuracy may be one way to eliminate these shortcomings.

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