VIOLA Imitation Learning Robot Make Coffee
OrionStar’s AI-powered 5G robotic coffee master may be years away, but if the VIOLA imitation learning algorithm is used to train basic robotics arms, it may become a reality sooner than later. This object-centric imitation learning approach to learning closed-loop visuomotor policies for robot manipulation can be used to teach a robotic arm to make a cup of coffee using K-cups.



VIOLA uses a transformer-based policy to reason over these representations and attends to the task-relevant visual factors for action prediction. When the researchers used this algorithm for the Make-Coffee task achieves a success rate of 60%, while the baseline fails to complete the task in any attempt.

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VIOLA Imitation Learning Robot Make Coffee

We quantitatively evaluate VIOLA in simulation and on real robots. VIOLA outperforms the state-of-the-art imitation learning methods by 45.8% in success rates. It has also been deployed successfully on a physical robot to solve challenging long-horizon tasks, such as dining table arrangements and coffee making,” said the researchers.

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