Realization of Robust Yo-yo Operation

In this research, we aim to realize a robust yo-yo operation with a robot arm. For this purpose, we design a model predictive controller that provides input to the robot arm from predicted yo-yo states. Furthermore, we implement a controller that can be performed in real-time by using a neural network. Finally, the implemented controller realizes highly reproducible yo-yo operation by even with a usual disturbance.