This book chapter discusses categories of robots based on axes of motion, based on alignment, and industrial robots in food manufacturing settings, the category of robots has also been discussed based on degrees of freedom, and application in the food processing industry. The chapters discuss the industrial robot setups in the food manufacturing process, and fish processing using robotics and computer vision. Contains tables on robotics configuration application and description. The chapter discusses the general benefits of using Industrial robots in food processing. Sensors and their classification based on application in the robotics food industries. Gripper categories based on usage in food processing industries, motion tracking, and quality assessment manipulators have been discussed. Artificial Intelligence and Machine learning applications in food processing, benefits of robotics in food processing, the chapter discusses forward and inverse kinematics, case studies on two and three DoF (Degrees of Freedom), and inverse kinematics solutions with figures. The application of robotics in processing meat, fish, and poultry, QA and QC, hygiene, and packaging have been included. Various food operations, canning, baking, the applicability of CNNs, RNNs, LSTM, RBM, DBMs, and single and multiple feed-forward neural networks, discuss automatic control of food chilling and freezing. This chapter considers all the categories of sensors used in the food industry, including IoT integration and their applicability.

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Robotics and Automation in Food Manufacturing

  • Abir Chakravorty

摘要

This book chapter discusses categories of robots based on axes of motion, based on alignment, and industrial robots in food manufacturing settings, the category of robots has also been discussed based on degrees of freedom, and application in the food processing industry. The chapters discuss the industrial robot setups in the food manufacturing process, and fish processing using robotics and computer vision. Contains tables on robotics configuration application and description. The chapter discusses the general benefits of using Industrial robots in food processing. Sensors and their classification based on application in the robotics food industries. Gripper categories based on usage in food processing industries, motion tracking, and quality assessment manipulators have been discussed. Artificial Intelligence and Machine learning applications in food processing, benefits of robotics in food processing, the chapter discusses forward and inverse kinematics, case studies on two and three DoF (Degrees of Freedom), and inverse kinematics solutions with figures. The application of robotics in processing meat, fish, and poultry, QA and QC, hygiene, and packaging have been included. Various food operations, canning, baking, the applicability of CNNs, RNNs, LSTM, RBM, DBMs, and single and multiple feed-forward neural networks, discuss automatic control of food chilling and freezing. This chapter considers all the categories of sensors used in the food industry, including IoT integration and their applicability.