SRR-Net
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Related Articles from SNS
Vision-Based Early Fault Diagnosis and Self-Recovery for Strawberry Harvesting Robots
Announce Type: replace Abstract: Strawberry-harvesting robots faced challenges such as poor visual perception, gripper misalignment, empty grasp/misgrasp, and slippage, which reduced harvesting stability and efficiency. To overcome these issues, this paper proposes a visual fault diagnosis and self-recovery framework. An end-to-end SRR-Net achieved unified perception and fault diagnosis through joint detection, segmentation, and ripeness regression of the fruit and gripper.