This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Robert Bosch. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Alexander Qualmann: Inventor in Object-Manipulation Training
Introduction
Alexander Qualmann is an inventor based in Schoenaich, Germany. His patent work concerns training control policies to manipulate objects, including the use of image data and semi-supervised learning.
Latest Patents
Qualmann is credited with 1 patent: “Device and Method for Training a Control Policy for Manipulating an Object.” The method receives image data representing an object’s shape and position in a scene. It generates augmented image data and pseudo-labels under a semi-supervised learning scheme, then uses the resulting training data to train a control policy.
Career Highlights
Qualmann is associated with Robert Bosch. His listed patent reflects work at the intersection of machine learning, visual data, and object manipulation.
Collaborations
Bao Huy Le is identified as Qualmann’s coworker. The available information does not specify their particular collaboration on the patent.
Conclusion
Alexander Qualmann’s listed invention focuses on using augmented visual training data to develop control policies for manipulating objects.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile