Lyu Yining, Wu Fan, Wang Qingyu, Liu Guanyu, Zhang Yingqi, Jiang Huanyu, Zhou Mingchuan
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Zhejiang University, Hangzhou, China.
Front Robot AI. 2025 May 23;12:1578318. doi: 10.3389/frobt.2025.1578318. eCollection 2025.
Tasks in the meat processing sector are physically challenging, repetitive, and prone to worker scarcity. Therefore, the imperative adoption of mechanization and automation within the domain of meat processing is underscored by its key role in mitigating labor-intensive processes while concurrently enhancing productivity, safety, and operator wellbeing. This review paper gives an overview of the current research for robotic and automated systems in meat processing. The modules of a robotic system are introduced and afterward, the robotic tasks are divided into three sections with the features of processing targets including livestock, poultry, and seafood. Furthermore, we analyze the technical details of whole meat processing, including skinning, gutting, abdomen cutting, and half-carcass cutting, and discuss these systems in performance and industrial feasibility. The review also refers to some commercialized products for automation in the meat processing industry. Finally, we conclude the review and discuss potential challenges for further robotization and automation in meat processing.
肉类加工行业的任务对体力要求高、重复性强,且容易出现劳动力短缺的情况。因此,肉类加工领域必须采用机械化和自动化,因为它在减轻劳动密集型流程的同时,还能提高生产率、安全性和操作员的健康水平,发挥着关键作用。这篇综述文章概述了肉类加工中机器人和自动化系统的当前研究情况。介绍了机器人系统的模块,随后,根据加工对象的特点,将机器人任务分为三个部分,包括牲畜、家禽和海鲜。此外,我们分析了整个肉类加工的技术细节,包括剥皮、去内脏、腹部切割和半胴体切割,并讨论了这些系统在性能和工业可行性方面的情况。该综述还提到了肉类加工行业中一些自动化的商业化产品。最后,我们总结了该综述,并讨论了肉类加工进一步机器人化和自动化面临的潜在挑战。