Solution Deployment FAQs

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This section introduces the common problems, possible causes, and solutions for the Long Sheet Metal Parts solution.

Problem 1: Path Planning Failure

Symptom

The path planning failed when Mech-Vision is used for path planning.

Possible Causes

  • The robot collided with scene objects.

Solutions

  • Check if the robot waypoints are set properly. If not, change the waypoints.

  • Set an appropriate scene model according to the actual situation.

Problem 2: Unable to Accurately Position Image-Capturing Point for PRO S-GL

Symptom

The high reflectivity of the bin walls resulted in poor quality of the point cloud obtained by LSR XL-GL, making it difficult to output an accurate image-capturing point for PRO S-GL.

Possible Causes

  • The camera exposure parameters were not set properly.

  • The error prevention parameters in the Procedure Foreground Segmentation and Point Cloud Preprocessing were not set properly.

  • The bin walls are too reflective.

Solutions

  • Adjust camera exposure parameters in Mech-Eye Viewer, and set the Fringe Coding Mode to Reflective to ensure the obtained point cloud of the target object is complete and without depth fluctuation. For detailed descriptions of the camera parameters, please refer to LSR XL-GL Camera Parameters Reference.

  • In the Procedure Foreground Segmentation and Point Cloud Preprocessing, adjust the parameters “Point Cloud Clustering” and “Get Highest Layer Clouds” according to the actual situation.

  • Use a bin with non-reflective walls.

Problem 3: Unable to Accurately Position Target Object

Symptom

The high reflectivity of the bin walls caused pronounced fluctuations or significant loss in the point cloud obtained by PRO S-GL, making it difficult to accurately locate target objects.

Possible Causes

  • The camera exposure parameters were not set properly.

  • As the image-capturing points of PRO S-GL were not set properly, the bin walls were captured. The reflection of the bin walls affected the point cloud quality.

Solutions

  • Adjust camera exposure parameters in Mech-Eye Viewer, and set the Fringe Coding Mode to Reflective to ensure the obtained point cloud of the target object is complete and without depth fluctuation. For detailed descriptions of the camera parameters, please refer to PRO S-GL Camera Parameters Reference.

  • In the Adjust Poses V2 Step, adjust the parameters in the Translate pose along specified direction category: Adjust the value of Translation distance to ensure that PRO S-GL captures only the target objects and minimizes the capture of the bin walls, thereby improving the point cloud quality.

Problem 4: Deviation in Object Recognition Result

Symptom

The recognition result of the target object had a deviation and did not meet the requirements.

Possible Causes

  • Reflection from the bin walls resulted in poor point cloud quality and inaccurate matching.

  • The matching parameters were not set properly.

Solutions

  • Adjust the image-capturing position of PRO S-GL to minimize the capture of the bin walls while ensuring the completeness of the point cloud of the target objects.

  • Set appropriate matching parameters.

Problem 5: Recognition Region

Symptom

An error message No point cloud in the recognition area popped up in the 3D Target Object Recognition Step.

phenomenon 5

Possible Causes

  • The 3D ROI is not set properly, and there is no point cloud in the ROI.

  • There are no target objects or bins at the station.

Solutions

  • Reset the 3D ROI to include the point cloud of the target objects and bin.

  • Re-arrange the station and put target objects and a bin.

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