Reinforced Meta-Learning Method for Shape-Dependent Regulation of Cutting Force in Pork Carcass Operation Robots

Wang, Xiaopeng; Cai, Lei

doi:10.1145/3582649.3582665

Proceedings of the 2023 6th International Conference on Image and Graphics Processing 2023

DOI: 10.1145/3582649.3582665

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Reinforced Meta-Learning Method for Shape-Dependent Regulation of Cutting Force in Pork Carcass Operation Robots

Xiaopeng Wang

Lei Cai

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2024

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Safely and autonomously cutting meat with a collaborative robot arm

Wright,

Parekh,

White

et al. 2024

Sci Rep

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Labor shortages in the United States are impacting a number of industries including the meat processing sector. Collaborative technologies that work alongside humans while increasing production abilities may support the industry by enhancing automation and improving job quality. However, existing automation technologies used in the meat industry have limited collaboration potential, low flexibility, and high cost. The objective of this work was to explore the use of a robot arm to collaboratively work alongside a human and complete tasks performed in a meat processing facility. Toward this objective, we demonstrated proof-of-concept approaches to ensure human safety while exploring the capacity of the robot arm to perform example meat processing tasks. In support of human safety, we developed a knife instrumentation system to detect when the cutting implement comes into contact with meat within the collaborative space. To demonstrate the capability of the system to flexibly conduct a variety of basic meat processing tasks, we developed vision and control protocols to execute slicing, trimming, and cubing of pork loins. We also collected a subjective evaluation of the actions from experts within the U.S. meat processing industry. On average the experts rated the robot’s performance as adequate. Moreover, the experts generally preferred the cuts performed in collaboration with a human worker to cuts completed autonomously, highlighting the benefits of robotic technologies that assist human workers rather than replace them. Video demonstrations of our proposed framework can be found here: https://youtu.be/56mdHjjYMVc.

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Safely and autonomously cutting meat with a collaborative robot arm

Wright,

Parekh,

White

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

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Reinforced Meta-Learning Method for Shape-Dependent Regulation of Cutting Force in Pork Carcass Operation Robots

Cited by 1 publication

References 3 publications

Safely and autonomously cutting meat with a collaborative robot arm

Safely and autonomously cutting meat with a collaborative robot arm

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