Abstract
In this paper, the problem of quality inspection of remote radio units (RRUs) is approached using the image-based visual servo control. A novel computer vision pipeline is designed that recognizes the power port of RRU and tracks it from the stream of images. For the control part, a new depth-independent interaction matrix is designed that relates the depth information with the area of the region of interest surrounding the power port. Based on this, an acceleration command is generated to drive the robot's trajectories. Furthermore, a propotional-derivative (PD)-type controller is designed based on the idea of sliding surface in variable structure control. This reduces the number of design parameters to a single parameter. The designed controllers are proven to be stable using the Lyapunov stability analysis. Simulation results and experimental validations are provided to support the research arguments.
| Original language | English |
|---|---|
| Article number | 8543489 |
| Pages (from-to) | 8214-8223 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Industrial Electronics |
| Volume | 66 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2019 |
Keywords
- Automatic optical inspection
- industrial manipulation
- multiview object tracking
- object recognition
- visual servoing
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