Research on the Motion Path Planning of Industrial Robots Based on Multi-Sensor Data Fusion
The current mapping coordinates for industrial robot motion path planning are mostly fixed point,resulting in low path planning efficiency and an increase in optimal path length.Therefore,a motion path planning method for industrial robots based on multi-sensor data fusion is proposed.Deploy multiple sensor nodes and collect basic data,describe robot pose,and construct multi-target mapping coordinates.Design a motion path planning model for multi-sensor data fusion robots,using reverse correction to achieve path planning processing.The test results show that compared with the initial robot planning path length standard,the optimal path length of this method is controlled below 9.5 m,indicating that the industrial robot motion path planning method is more flexible,versatile,and targeted.
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