This application demonstrates how the Chief Cook Robot is capable of learning to cook an omelet by whipping eggs, cutting ham and grating cheese.
The robot learns these skills by means of a probabilistic model using Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR), which allows it to learn to generalize the skill across various situations (See Sylvain Calinon's research page ). Moreover, being dynamical and driven online by nature, the robot can reproduce its skills by being robust to external perturbations such as a moving bowl.
Soon in all homes!