As the national government places increasing emphasis on the intelligent manufacturing industry, the production methods of the processing and manufacturing sector will undergo significant transformation.

For instance, many manufacturers are now opting to incorporate automated equipment such as robotic arms into their production processes to replace manual labor, thereby enhancing production efficiency, product quality, and reducing production costs. However, addressing error issues in robotic arms involves various factors, such as the precision and sensitivity of the robotic arm control system, and whether the feedback devices provide adequate information. This is both a three-dimensional positioning problem and a combination of linear and angular positioning issues.

Generally, deviations in the positioning of robotic arms during material handling, with significant error values, may be caused by single or multiple factors. The following provides a detailed explanation:
1. Positioning Speed
Positioning speed significantly impacts positioning accuracy. Excessively high speeds inevitably increase inertial values, and the differing energy dissipation of moving components can alter positioning accuracy. To minimize positioning errors, positioning speed should be reasonably controlled (based on control system program settings), such as by enhancing the buffering performance and efficiency of buffering devices to enable timely deceleration and differential motion of moving components and actuators.

2. Debugging issues
If certain details are not properly controlled during the robotic arm's calibration process, and precision is not guaranteed during installation and use, this will directly impact positioning accuracy.

3. Robotic Arm Stiffness Issues
If the robotic arm itself has stiffness issues, it is prone to vibration and positional shifts, which will directly affect positioning accuracy and cannot guarantee operational efficiency. This is an inherent issue with the mechanical equipment itself.

4. Drive System
Fluctuations in hydraulic or pneumatic pressure can also affect the robot's material handling operations, and repeat positioning accuracy will be impacted as well.

5. Control System Components
The precision and algorithm optimization of the controller directly affect the robot's operation (the magnitude of errors), and this also involves whether the feedback sensors provide adequate information feedback to enable the controller to perform position compensation.

Generally, if the robotic arm control system relies entirely on numerical modeling for path planning, due to poor material handling accuracy, there is often a significant discrepancy with reality. How to adapt and compensate is crucial, as this can meet the accuracy requirements of most application scenarioses.

After generating the trajectory through software, achieving results identical to reality is still insufficient. To further enhance trajectory accuracy, ensure alignment between actual products and trajectories, and achieve precise compensation for tolerances, many control systems incorporate vision systems into the overall automation solution to address error issues.