Nico Huebel

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Although thousands of Chinese characters exist, they can be constructed from a limited number of single strokes. In Chinese calligraphy these strokes are combined into a full character in a fluid way. Therefore Chinese calligraphy provides an interesting problem to study learning mechanisms such as how to automatically construct complex tasks (full(More)
A robot testbed for writing Chinese and Japanese calligraphy characters is presented. Single strokes of the calligraphy characters are represented in a database and initialized with a scanned reference image and a manually chosen initial drawing spline. A learning procedure uses visual feedback to analyze each new iteration of the drawn stroke and updates(More)
This work presents a trajectory generator for time-optimal maneuvering of a robotic manipulator in jointspace. This generator allows to adapt these maneuvers depending on external events received by the robot (e.g. from sensors or human input). Closed-form equations for these trajectories are provided, resulting on a computationally light algorithm which(More)
A robot testbed for writing Chinese and Japanese calligraphy characters is presented. Single strokes of the calligraphy characters are represented in a database and initialized with a scanned reference image and a manually chosen initial drawing spline. A learning procedure uses visual feedback to analyze each new iteration of the drawn stroke and updates(More)
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