Autonomous Learning Haptic Intelligence Patent 2021

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

Thumb ticker sm 20220401 huanbo sun 2 min
Autonomous Learning
  • Doctoral Researcher
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Empirical Inference, Autonomous Learning
Senior Research Scientist
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Haptic Intelligence
Director
Insight patent software

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
Project(s):
Bibtex Type: Patent (patent)
Address: Max Planck Ring 4
Electronic Archiving: grant_archive
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},
  abstract = {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.},
  number = {PCT/EP2021/050231},
  organization = {Max Planck Institute for Intelligent Systems},
  address = {Max Planck Ring 4},
  month = jan,
  year = {2021},
  slug = {pct-ep2021-050231},
  author = {Sun, Huanbo and Martius, Georg and Kuchenbecker, Katherine J.},
  month_numeric = {1}
}