Autonomous Learning
Haptic Intelligence
Patent
2021
Method for force inference, method for training a feed-forward neural network, force inference module, and sensor arrangement

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} }