Robotics in Logistics: Deployment and Challenges
机器人进厂第一课：不当人
The article explores the deployment of logistics robots in warehouse sorting tasks, focusing on the transition from demonstration to real-world production. It discusses the technical and economic challenges of integrating robotics into logistics, including the design of non-humanoid robots optimized for specific tasks, and the broader implications for the future of automation in the industry.
The article highlights the deployment of logistics robots in warehouse sorting tasks, emphasizing the shift from demonstration to real-world production. It discusses the technical and economic challenges of integrating robotics into logistics, including the design of non-humanoid robots optimized for specific tasks, and the broader implications for the future of automation in the industry.
Source: Chinese robotics — Deployment discovery · Read original article ↗
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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
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一年前， 机器人 还在展台上叠衣服、煎荷包蛋、做汉堡。
Open source S10
一年后，已经有一批机器人进入物流行业干起了分拣，有趣的是，新上岗的机器人分拣员，没有一个是完整的人形。
Open source S11
它相当于自动分拣线的“喂料口”，而“喂料口”这个岗位，恰好是具身智能最缺的那种数据工厂。
Open source S16
“供包是典型的非结构化作业，包裹堆叠、品类和姿态随机，几乎没有两个完全一样的现场，靠固定编程和传统工装做不了，必须依赖具身大脑的智能泛化能力；同时它要求精细的手眼协同（抓取、翻面、轻放），我们希望在具身智能进化的过程中能够在产业中先用起来，先成为生产力。
Open source S20
现场每天产生的真实数据能持续回流，也让机器人越干越熟练，也是让具身智能进化不可或缺的燃料。
Open source S21
分拣恰好是回流制：夹错了、放反了，件会回流重来，回流率3%对人工2%，差的那1个点是成本，不是事故。
Open source S24
工厂装配动作太单一，数据多样性差；家庭环境太开放，反馈不明确，频次也低。
Open source S19
一个理想的数据工厂要同时满足三个条件： 作业频次高、明确成败反馈、场景能复制。
Open source S18
Source：Chinese robotics — Deployment discovery · finance.sina.com.cn