In surface processing applications such as spraying, adhesive dispensing, welding, grinding, cutting, cleaning, and deburring, robots typically need to move along workpiece surfaces or specific contours. Traditional robot teaching requires operators to manually define trajectories point by point. When the workpiece model, position, or shape changes, reprogramming and debugging are required, resulting in low efficiency. The 3D Vision Automatic Path Planning Solution uses industrial 3D cameras to scan workpiece surfaces and acquire point cloud data. It extracts 3D information and automatically identifies target areas, edges, curves, or specific structures. Based on process requirements, the system automatically generates robot motion paths, enabling flexible path guidance without manual teaching or manual modeling.
Technical Highlights
High-quality 3D imaging, application algorithms, and coordinated robot control enable reliable 3D vision performance in complex industrial environments.
High-quality 3D imaging, application algorithms, and coordinated robot control enable reliable 3D vision performance in complex industrial environments.
Acquires complete and detailed point cloud data of workpiece contours, curved surfaces, and geometric structures, providing an accurate data foundation for path generation.
Vision-based path extraction algorithms are closely integrated with process requirements to calculate and extract compliant robot motion paths, and output executable trajectory points and poses.
The vision system optimizes robot poses and motion paths based on tool orientation, working distance, and process requirements for welding, spraying, dispensing, grinding, and other applications, simplifying system integration.
When the workpiece model or dimensions change, or when incoming position or angle deviations occur, the 3D vision system rescans and recalculates the robot motion path in real time without repeated teaching.
Supports both path planning after static scanning and dynamic scanning-based path planning to meet different production deployment requirements.
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