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A Mobile Manipulation System for Automated Replenishment in the Field of Unmanned Retail

Dayou Li, Pengkun Wei, Chenkun Zhao, Shuo Yang, Yibin Li, Wei Zhang

发表年份
2023
引用次数
2

摘要

Automated replenishment is one of the most challenging in-store logistics tasks, which has not been well-addressed due to the complex coordination of a mobile base and a manipulator. In this paper, we build a complete mobile manipulation system to enable automated replenishment in the field of unmanned retail. Specifically, the designed mobile manipulation system consists of a UR5 robotic arm and an automated guided vehicle (AGV). For the manipulation part, we propose a 6-DoF target-oriented grasp detection method for stably picking products in the cluttered scenes; For the mobile part, we develop a navigation method to plan a collision-free path for efficiently delivering the goods. We evaluate the designed system via real-world experiments and the results show the efficiency and reliability of our mobile manipulation system in finishing the replenishment tasks. The video demonstration can be found at https://youtu.be/g6WrF-I7tNw

关键词

GRASPComputer scienceReliability (semiconductor)Plan (archaeology)Field (mathematics)Mobile robotReal-time computingPath (computing)Embedded systemMobile device

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