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, Haptic Intelligence |
| 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}
}
|
|
