
初始化双臂视觉校准,用于 SKU 识别。
从指定存储区域检索散装库存单元。
根据重量分布执行精确的堆叠模式。
验证容器的完整性和托盘密度阈值。
将整合后的数据传输到下游包装站。

Ensure your facility meets the following criteria before deployment.
Verify stable 220V power availability at all robot stations.
Ensure low latency Wi-Fi or Ethernet connection for control signals.
Allocate 1.5 meters clearance around robotic work zones.
Install overhead lighting with color temperature between 4000K-5000K.
Confirm maximum case size matches the gripper specifications.
Install physical guards to prevent human-robot interaction risks.
Assess current layout and identify integration points for new hardware.
Mount cameras, robots, and sensors according to architectural plans.
Load algorithms and calibrate vision systems for specific case types.
订单完成准确率:在容器整合中保持 99.9% 的精度。
托盘密度效率:在标准容器中实现最佳重量分布。
系统持续运行可靠性:在高峰订单窗口期间持续运行。
Advanced cameras analyze case orientation and dimensions in real-time.
Precision arms handle stacking with force control algorithms.
Seamless connection to existing material handling equipment.
Centralized cloud storage for operational logs and analytics.
Perform daily calibration to maintain detection accuracy.
Replace optical filters every 3 months to prevent dust buildup.
Apply patches weekly to ensure security and performance.
Follow lockout/tagout procedures during power failures.