Patents by Inventor Husnu Melih Erdogan

Husnu Melih Erdogan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240066723
    Abstract: It is recognized It is recognized herein that current approaches to robotic picking lack efficiency and capabilities. In particular, current approaches often do not properly or efficiently estimate the pose of bins, due to various technical challenges in doing so, which can impact grasp computations and overall performance of a given robot. The pose of the bin can be determined or estimated based on depth images. Such bin pose estimation can be performed during runtime of a given robot, such that grasping can be enhanced due to the bin pose estimations.
    Type: Application
    Filed: August 7, 2023
    Publication date: February 29, 2024
    Inventors: Eduardo Moura Cirilo Rocha, Husnu Melih Erdogan, Eugen Solowjow, Ines Ugalde Diaz, Yash Shahapurkar, Nan Tian, Paul Andreas Batsii, Christopher Schuette
  • Publication number: 20230305574
    Abstract: It is recognized herein that robots or autonomous systems can lose time when computing grasp scores for empty bins. Further, when grasps are attempted on empty bins, for instance due to the related grasp score computations, the robot can lose additional time through being used unnecessarily to attempt the grasp. Such usage can wear on the robot, or damage the robot, in some cases. An autonomous system can classify or determine whether a bin contains an object or is empty, for example, such that a grasp computation is not performed when the bin is empty. In some examples, a system classifies a given bin at runtime before each grasp computation is performed. Thus, systems described herein can avoid performing unnecessary grasp computations, thereby conserving processing time and overheard, among addressing other technical problems.
    Type: Application
    Filed: March 10, 2023
    Publication date: September 28, 2023
    Applicant: Siemens Aktiengesellschaft
    Inventors: Ines Ugalde Diaz, Eugen Solowjow, Yash Shahapurkar, Husnu Melih Erdogan, Eduardo Moura Cirilo Rocha