The task of pouring a liquid into a cup requires precise movement control of the robot and adaptability to different conditions.

Conventional methods reach their limits when it comes to task-specific tasks, as they are often inflexible and difficult to adapt to new situations. Machine learning methods offer a promising alternative.

This type of artificial intelligence plays a particularly important role in our research project, as the system should be extended to different robot arms. With reinforcement learning, the learned model can be transferred to different robots and retrained with minimal adjustments.

Here you can find all articles about our research project.

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