Learning haptic representation for manipulating deformable food objects

@article{Gemici2014LearningHR,
  title={Learning haptic representation for manipulating deformable food objects},
  author={Mevlana Gemici and Ashutosh Saxena},
  journal={2014 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year={2014},
  pages={638-645}
}
Manipulation of complex deformable semi-solids such as food objects is an important skill for personal robots to have. In this work, our goal is to model and learn the physical properties of such objects. We design actions involving use of tools such as forks and knives that obtain haptic data containing information about the physical properties of the object. We then design appropriate features and use supervised learning to map these features to certain physical properties (hardness… CONTINUE READING
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