Corpus ID: 202583584

Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously-Unseen Food Items

@article{Gordon2019AdaptiveRF,
  title={Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously-Unseen Food Items},
  author={E. Gordon and Xiang Meng and Matt Barnes and T. Bhattacharjee and S. Srinivasa},
  journal={arXiv: Robotics},
  year={2019}
}
  • E. Gordon, Xiang Meng, +2 authors S. Srinivasa
  • Published 2019
  • Computer Science, Engineering
  • arXiv: Robotics
  • A successful robot-assisted feeding system requires bite acquisition of a wide variety of food items. It needs to adapt to changing user food preferences under uncertain visual and physical environments. Different food items in different environmental conditions may require different manipulation strategies for successful bite acquisition. Therefore, a key challenge is to handle previously-unseen food items with very different success rate distributions over strategy. Combining low-level… CONTINUE READING

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