Chief Cook Robot learns by doing


It’s always nice to see ‘darn cute’ & ‘genuinely interesting’ join forces – especially when it demonstrates autonomous extraction of task constraints (to the Benny Hill theme) –

The Chief Cook Robot learning to cook an omelet by whipping eggs, cutting ham and grating cheese.

Through the use of a probabilistic model using Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR), the robot progressively learns to generalize the skill to various situations. It is then possible to reproduce the skill by being robust to dynamic perturbations (e.g. by moving the bowl while the robot whip the eggs). This video is part of the Cogniron project.

This method makes AI development look uncommonly simple and familiar, endearing even.

Exercise your learning algorithm by ingesting more relevant data here – Research on robot learning by imitation