Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Modular Approach to the Embodiment of Hand Motions from Human
  Demonstrations   Manipulating objects with robotic hands is a complicated task. Not only the
pose of the robot's end effector, but also the fingers of the hand need to be
controlled and coordinated. Using human demonstrations of movements is an
intuitive and data-efficient way of guiding the robot's behavior. We propose a
modular framework with an automatic embodiment mapping to transfer human hand
motions to robotic systems and use motion capture to record human motion. We
evaluate our approach on eight challenging tasks, in which a robotic arm with a
mounted robotic hand needs to grasp and manipulate deformable objects or small,
fragile material.

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The categories of this paper are: eess
16
The categories of this paper are: stat
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
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The categories of this paper are: comp-gas
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The categories of this paper are: nucl-th
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The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
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The categories of this paper are: q-fin
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The categories of this paper are: q-alg
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The categories of this paper are: chao-dyn
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The categories of this paper are: astro-ph
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The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex