In response to the growing challenges of manual labor and efficiency in warehouse operations, Amazon has embarked on a significant transformation by incorporating robotics to assist with various tasks. While a substantial number of robots have been successfully deployed for tasks such as item transportation within warehouses, the complex process of object picking from shelves remains a significant challenge. This project addresses the issue by developing an innovative robotic system capable of autonomously fulfilling a simulated order by efficiently selecting specific items from shelves. A distinguishing feature of the proposed robotic system is its capacity to navigate the challenge of uncertain object positions within each bin of the shelf. The system is engineered to autonomously adapt its approach, employing strategies that enable it to efficiently locate and retrieve the desired items, even in the absence of pre-established knowledge about their placements.

翻译：为应对仓库运营中日益增长的人工劳动与效率挑战，亚马逊已着手进行重大转型，引入机器人协助完成各类任务。尽管已有大量机器人成功部署于仓库内物品搬运等任务，但从货架上拣选物品的复杂过程仍是重大挑战。本项目通过开发一种创新的机器人系统来解决该问题，该系统能够高效地从货架上选择特定物品，自主完成模拟订单。所提出的机器人系统的一个显著特点是其能够应对货架每个储位内物体位置不确定的挑战。该系统设计为可自主调整其操作策略，即使在缺乏物品摆放先验知识的情况下，仍能有效定位并抓取目标物品。