Vision-based approaches for cutting food products with robots: A review

Abstract

The use of robotic vision to cut deformable food objects is a challenge in robotics that has the potential to improve autonomy and create new opportunities in industries such as medicine, the food industry, and services. While cutting rigid objects is relatively simple, cutting deformable objects like food items, which change shape during the cutting process, is a significant challenge that requires advances in various aspects of robotics, including vision, modeling, hardware design, and control. This paper discusses recent developments in vision-based approaches for robots cutting food items and highlights the main challenges that must be overcome to succeed in this task and outline some potential future research directions.