Robots can already mimic surgeons to a certain degree, but training them to do so often involves complex programming and time-consuming trial-and-error. Now, for the first time, a machine successfully learned to replicate fundamental operation tasks after simply analyzing video footage of medical experts. But before it gets to work on human patients, the tiny robotic arms practiced on a pork loin. Doctors have increasingly integrated the da Vinci Surgical System into an array of procedures since the device's debut in 2000. The small pair of robotic arms ending in tweezer-like graspers are already used in prostatectomies, cardiac valve repairs, as well as renal and gynecologic operations.

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