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Method for force inference, method for training a feed-forward neural network, force inference module, and sensor arrangement

2021

Patent

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The invention relates to a method for force inference of a sensor arrangement for sensing forces, to a method for training a feed-forward neural network, to a force inference module, and to a sensor arrangement.

Author(s): Huanbo Sun and Georg Martius and Katherine J. Kuchenbecker
Number (issue): PCT/EP2021/050231
Year: 2021
Month: January

Department(s): Autonomous Learning, Haptische Intelligenz
Research Project(s): Insight: a Haptic Sensor Powered by Vision and Machine Learning
Bibtex Type: Patent (patent)
Paper Type: Patent

Address: Max Planck Ring 4
Organization: Max Planck Institute for Intelligent Systems

BibTex

@patent{PCT/EP2021/050231,
  title = {Method for force inference, method for training a feed-forward neural network, force inference module, and sensor arrangement},
  author = {Sun, Huanbo and Martius, Georg and Kuchenbecker, Katherine J.},
  number = {PCT/EP2021/050231},
  organization = {Max Planck Institute for Intelligent Systems},
  address = {Max Planck Ring 4},
  month = jan,
  year = {2021},
  doi = {},
  month_numeric = {1}
}