Patents by Inventor Gokul Narayanan Sathya Narayanan

Gokul Narayanan Sathya Narayanan 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: 20230228688
    Abstract: Robots might interact with planar objects (e.g., garments) for process automation, quality control, to perform sewing operations, or the like. It is recognized herein that robots interacting with such planar objects can pose particular problems, for instance problems related to detecting the planar object and estimating the pose of the detected planar object. A system can be configured to detect or segment planar objects, such as garments. The system can include a three-dimensional (3D) sensor positioned to detect a planar object along a transverse direction. The system can further include a first surface that supports the planar object. The first surface can be positioned such that the planar object is disposed between the first surface and the 3D sensor along the transverse direction. In various examples, the 3D sensor is configured to detect the planar object without detecting the first surface.
    Type: Application
    Filed: August 10, 2022
    Publication date: July 20, 2023
    Inventors: Eduardo Moura Cirilo Rocha, Shashank Tamaskar, Wei Xi Xia, Eugen Solowjow, Nan Tian, Gokul Narayanan Sathya Narayanan
  • Publication number: 20220391565
    Abstract: A method for automatically generating a bill of process in a manufacturing system comprising: receiving design information representative of a product to be produced; iteratively performing simulations of the manufacturing system; identifying manufacturing actions based on the simulations; optimizing the identified manufacturing actions to efficiently produce the product to be produced; generating, by the manufacturing system, a bill of process for producing the product. Simulations may be performed using a digital twin of the product being produced and a digital twin of the environment. System actions are optimized using a reinforcement learning technique to automatically produce a bill of process based on the design information of the product and task specifications.
    Type: Application
    Filed: May 25, 2022
    Publication date: December 8, 2022
    Inventors: Chengtao Wen, Juan L. Aparicio Ojea, Ines Ugalde Diaz, Gokul Narayanan Sathya Narayanan, Eugen Solowjow, Wei Xi Xia, Yash Shahapurkar, Shashank Tamaskar, Heiko Claussen
  • Publication number: 20220297295
    Abstract: A computer-implemented method for designing execution of a process by a robotic cell includes obtaining a process goal and one or more process constraints. The method includes accessing a library of constructs and a library of skills. Each construct includes a digital representation of a component of the robotic cell or a geometric transformation of the robotic cell. Each skill includes a functional description for using a robot of the robotic cell to interact with a physical environment to perform a skill objective. The method uses a simulation engine to simulate a multiplicity of designs, wherein each design is characterized by a combination of constructs and skills to achieve the process goal, and determine a set of feasible designs that meet the one or more process constraints. The method includes outputting recommended designs from the set of feasible designs.
    Type: Application
    Filed: February 8, 2022
    Publication date: September 22, 2022
    Inventors: Juan L. Aparicio Ojea, Heiko Claussen, Ines Ugalde Diaz, Yash Shahapurkar, Eugen Solowjow, Chengtao Wen, Wei Xi Xia, Gokul Narayanan Sathya Narayanan, Shashank Tamaskar