基于机器视觉引导的汽车发动机柔性装配优化

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中图分类号：U463.6 文献标识码：A 文章编号：1003-8639（2025）11-0164-03

【Abstract】This paper proposes a machine vision-guided flexible assmbly system for industrial robots， focusing onresolving the precision-eficiencyconflict in automotiveenginedocking.By integrating high-resolution industrial cameras with six-dimensional force sensors，and combining YOLOv3 object detection with nine-point calibration algorithms，the system achieves sub-pixel level component positioning and dynamic error compensation.Experimental results demonstrate thatthe system achieves O.O5mmpositioning accuracy in engine crankshaft assembly，completes single-station operations within 8 seconds，and reduces defect rates by 20% compared to traditional processes.

【Key words】machine Vision；industrial robot；flexible assembly；automotive engine；eror compensation

0 引言

工业机器人在汽车制造领域已得到广泛应用，但在发动机曲轴、缸体等复杂金属部件的柔性对接场景中，仍面临三大技术瓶颈。（剩余4567字）