Autonomous Learning Haptische Intelligenz Patent 2021

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

Autonomous Learning
  • Doctoral Researcher
Empirische Inferenz, Autonomous Learning
Senior Research Scientist
Haptische Intelligenz
Director

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},
  author = {Sun, Huanbo and Martius, Georg and Kuchenbecker, Katherine J.},
  month_numeric = {1}
}