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Lingchu Intelligence's embodied complete machine enters trial operation at Li-Ning logistics center
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Lingchu Intelligence and Hengyan Technology are jointly fulfilling the Li-Ning East China Smart Logistics Center project. The embodied complete machine equipped with Lingchu's self-developed model has completed on-site deployment and entered trial operation, being put into regular operations and fulfilling commercial orders. The solution targets the bin-picking scenario in footwear and apparel warehousing, where shoe boxes are mixed-stored and product poses are random. The model can autonomously decompose multi-step goals and complete recognition, pose solving, dexterous grasping, product sorting, and full-box pushing. Lingchu states that the entire solution requires no large-scale modification of the warehouse's existing infrastructure and can interface with existing warehouse management systems. During the trial operation phase, Lingchu, Hengyan, and the Li-Ning warehousing operations team will jointly conduct stress tests and validation of abnormal working conditions to optimize bin-picking success rates and stability during long periods of continuous operation.
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- Lingchu Intelligence's embodied robot enters Li-Ning East China smart logistics center for trial operation
Lingchu Intelligence and Hengyan Technology are jointly delivering the Li-Ning East China Smart Logistics Center project. The embodied robot, equipped with Lingchu's self-developed model, has been deployed on site and entered trial operation, taking on routine work and fulfilling commercial orders. The solution targets the bin-picking scenario in footwear and apparel warehousing, where shoeboxes are mixed in storage and item poses are random. The model can autonomously break down multi-step goals and complete recognition, pose estimation, dexterous grasping, product sorting, and pushing full boxes, without requiring large-scale modification of existing infrastructure. During the trial operation, Lingchu will work with Li-Ning's warehouse operations team on stress testing and validation of abnormal conditions, optimizing bin-picking success rates and stability during long periods of continuous operation.
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