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Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks
The act of reaching for an object is a fundamental yet complex skill for a robotic agent, requiring a high degree of visuomotor control and coordination.
Continual Learning from Synthetic Data for a Humanoid Exercise Robot
In a practical scenario, a physical exercise is performed by an expert like a physiotherapist and then used as a reference for a humanoid robot like Pepper to give feedback on a patient's execution of the same exercise.
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