The task of pouring a liquid into a cup requires precise motion control of the robot and adaptability to different conditions.
Conventional methods reach their limits with task-specific jobs, as they are often inflexible and difficult to adapt to new situations. Machine learning methods can provide a promising alternative.
This type of artificial intelligence plays such an important role in our research project in particular, because the system is to be extended to different robot arms. With reinforcement learning, for example, the learned model can be transferred to different robots and retrained with minimal adjustments.
Here you will find all articles about our research project.
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