Analysis of robot joint rotation error for manufacturing and mechatronics integration

The era of industrial automation has led to increasingly high requirements for robot work accuracy. Therefore, it needs effectively improve the working accuracy of manufacturing and mechatronics integrated robots in automation industry and reduce rotational errors. Therefore, a Monte Carlo model was introduced to simulate and analyze the impact of rotational motion joint errors on robot’s end positioning accuracy. In the experimental results, when actual robot joint clearance is 0.03 mm. When ensuring that its routine work meets 99.99% of operational accuracy, the end repeated positioning accuracy has reached 0.048 mm. If the extreme value of 0.06 mm needs to be reached, it is necessary to ensure that the gap between two joints is less than 0.031 mm. When the actual maximum gap of joint is 0.03 mm, the probability of end repetitive positioning error of 0.02 mm is 8.9%. In addition, for changes in robot end error, the numerical growth of discrete positions leads to a trend of first decreasing and then increasing position error. And the minimum and maximum readings of club instrument in direction \(p\) $p$ are 149.61 mm and 149.64 mm. The actual fluctuation of motion arm is about 28 μM. From this, it can be determined that its repeatability positioning accuracy is about 14 μ m. This result is close to simulation’s 12.5 μM. Overall, Monte Carlo models can be used for robot mechanism design and accuracy analysis, as well as for constructing constraint relationships between joint clearances and positioning errors. This can provide reference value for actual robot design and assembly. At the same time, the analysis method for the error of the robot joint itself is innovative.