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APPLICATION CASES

Robot Grinding Guidance and Path Planning

Customer Challenges

Manual grinding depends heavily on operator experience, making consistency difficult to maintain. The work is strenuous and noisy, with occupational health risks and limited throughput. Conventional grinding robots rely on manually taught paths, creating long commissioning cycles and high maintenance costs when parts and processes change.

Challenges

  • Reflective metal parts.
  • A large field of view with high accuracy.
  • Processes vary across parts, machining methods, surface treatments and polishing requirements.

Solution

  • A DS-A10700 structured-light camera and industrial robot capture accurate 3D point clouds from all required viewpoints.
  • AIRVision locates the workpiece, calculates curvature, extracts features and classifies geometric regions.
  • Path-planning software automatically generates grinding trajectories.
  • An AI-assisted model combines with operator expertise to select the grinding process.
  • Compliant force control enables accurate grinding.

Performance

  • Imaging and localization accuracy: 0.1 mm
  • Grinding efficiency improvement: 70%
Grinding workpiece
Workpiece
Point-cloud view of the grinding workpiece
Point-cloud view
Second grinding workpiece
Workpiece
Second point-cloud view of the grinding workpiece
Point-cloud view