The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 11, 2026
Filed:
May. 25, 2021
Siemens Aktiengesellschaft, Munich, DE;
Juan L Aparicio Ojea, Moraga, CA (US);
Heiko Claussen, Wayland, MA (US);
Ines Ugalde Diaz, Redwood City, CA (US);
Gokul Narayanan Sathya Narayanan, Emeryville, CA (US);
Eugen Solowjow, Berkeley, CA (US);
Chengtao Wen, Redwood City, CA (US);
Wei XI Xia, Daly City, CA (US);
Yash Shahapurkar, Berkeley, CA (US);
Shashank Tamaskar, Punjab, IN;
Siemens Aktiengesellschaft, Munich, DE;
Abstract
A covariate shift generally refers to the change of the distribution of the input data (e.g., noise distribution) between the training and inference regimes. Such covariate shifts can degrade the performance grasping neural networks, and thus robotic grasping operations. As described herein, an output of a grasp neural network can be transformed, so as to determine appropriate locations on a given object for a robot or autonomous machine to grasp.