Quan Xu

Improving Harvesting Efficiency and Sustainability Through Lightweight Visual Perception: COS-DETR for Resource-Constrained Tea-Harvesting Robots

Visual perception is a key challenge for tea-harvesting robots because tender buds must be distinguished from dense foliage under variable illumination and localized rapidly enough to support grasping on embedded hardware. We developed COS-DETR, a detector based on RT-DETR that i...