Food Engineering Automation with Robotics and AI

Chapter 10Case Studies

After reading this chapter, you should be able to:

• Practical robotics applications in food manufacturing focus on real-life application examples, from modeling and simulation robotic applications to human-following and agricultural support robots for useful insights into automation in food processing.
• State-of-the-art techniques: This work will give readers knowledge of advanced techniques, which include deep reinforcement learning for training of the task, OpenPose for robotic cooking, and compliant grippers to estimate the cooking time, essentials for fine-tuning robotic precision, and adaptability in food processing tasks.
• This chapter focuses on optimizing food service robotics, but particularly through case studies with humanoid parameter tuning and object detection in additive manufacturing, thus emphasizing innovations that actually make the efficiency and performance of service robots better geared toward the dynamic needs of the food industry.

This chapter discusses the application of robot simulation tools to an industrial manufacturing cell in order to analyze, model, and improve it. The chapter draws on the potential applications of such developments as contributing to the enhancement of the digital factory initiative. The general discussion conducted in the text also pertains to packaging and palletization operations within the food industry and other operations in the food industry, which serve as a case study.

10.1 Modeling Simulation ...