Development of Shape-Mimetics Wireless Monitoring System by 3D Printer and its Application to Grasp-Less Handling Based on Ball Rolling Motion with a Dual-Arm Robot and Egg Washing Inspection Process

This study focuses on the development and implementation of a shape-mimetics wireless monitoring system. A 3D printer is used to monitoring device, which mimics these shapes, is referred to as a shape-mimetics wireless monitoring robot. The effectiveness of this system depends on the complexity of both the shape and the environment. When both factors are relatively simple, trajectory estimation can be performed using mathematical modeling. This was validated through experiments involving the motion of a ball on a horizontal plane using grasp-less handling. In contrast, when both factors are complex, vibrations and external forces can be directly monitored as raw data in a straightforward manner. This was demonstrated during the egg washing and inspection process, which served as a complex, real-world application. These results show that the shape-mimetics wireless monitoring system can achieve continuous trajectory estimation and monitor vibrations and external forces at a higher sampling frequency compared to conventional vision-based monitoring systems. The findings suggest that the proposed system could be beneficial in a wide range of industries, including manufacturing and food processing.