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Fig 1.

Logistics production line transportation process.

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Fig 2.

Dynamic capture system hardware and software composition.

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Fig 3.

Operation process of dynamic grasping system based on robotic arm collaboration.

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Fig 4.

Operation process of automatic control of grasping motion of industrial robot arm based on PLC.

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Fig 5.

Schematic diagram of PnP principle.

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Fig 6.

Dynamic capture with MFW-PnP fusion.

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Fig 7.

General system flow chart.

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Table 1.

The main control loop of VRCDS system pseudocode.

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Table 2.

The experimental basic environmental parameters.

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Table 2 Expand

Fig 8.

Training loss curves on the DGBD and YDS datasets.

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Fig 9.

Different methods of encryption response speed.

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Fig 10.

Recognition accuracy of different methods.

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Fig 11.

Error curve of mechanical arm under conveyor belt at different speeds.

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Fig 12.

Power consumption, grasping efficiency and error of mechanical arm grasping.

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Fig 13.

Mean average precision of different algorithms.

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Fig 14.

Capture the average accuracy.

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Table 3.

Performance of VRCDS system under challenging scenarios.

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Table 3 Expand