Patents by Inventor Michael Andrew Smell

Michael Andrew Smell 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: 20230056614
    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using data format conversion (e.g., of output(s) from generative design processes) and user interface techniques that facilitate the production of 3D models of physical structures that are readily usable with 2.5-axis subtractive manufacturing, include: modifying smooth curves, which have been fit to contours representing discrete height layers of an object, to facilitate the 2.5-axis subtractive manufacturing; preparing an editable model of the object using a parametric feature history, which includes a sketch feature, to combine extruded versions of the smooth curves to form a 3D model of the object in a boundary representation format; reshaping a subset of the smooth curves responsive to user input with respect to the sketch feature; and replaying the parametric feature history to reconstruct the 3D model of the object, as changed by the user input.
    Type: Application
    Filed: September 14, 2022
    Publication date: February 23, 2023
    Inventors: Karl Darcy Daniel Willis, Nigel Jed Wesley Morris, Andreas Linas Bastian, Adrian Adam Thomas Butscher, Daniele Grandi, Suguru Furuta, Joseph George Lambourne, Tristan Ward Barback, Martin Cvetanov Marinov, Marco Amagliani, Jingyang John Chen, Michael Andrew Smell, Brian M. Frank, Hooman Shayani, Christopher Michael Wade, Nandakumar Santhanam
  • Patent number: 11455435
    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using data format conversion (e.g., of output(s) from generative design processes) and user interface techniques that facilitate the production of 3D models of physical structures that are readily usable with 2.5-axis subtractive manufacturing, include: modifying smooth curves, which have been fit to contours representing discrete height layers of an object, to facilitate the 2.5-axis subtractive manufacturing; preparing an editable model of the object using a parametric feature history, which includes a sketch feature, to combine extruded versions of the smooth curves to form a 3D model of the object in a boundary representation format; reshaping a subset of the smooth curves responsive to user input with respect to the sketch feature; and replaying the parametric feature history to reconstruct the 3D model of the object, as changed by the user input.
    Type: Grant
    Filed: November 8, 2019
    Date of Patent: September 27, 2022
    Assignee: Autodesk, Inc.
    Inventors: Karl Darcy Daniel Willis, Nigel Jed Wesley Morris, Andreas Linas Bastian, Adrian Adam Thomas Butscher, Daniele Grandi, Suguru Furuta, Joseph George Lambourne, Tristan Ward Barback, Martin Cvetanov Marinov, Marco Amagliani, Jingyang John Chen, Michael Andrew Smell, Brian M. Frank, Hooman Shayani, Christopher Michael Wade, Nandakumar Santhanam
  • Patent number: 10896541
    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for facilitating editing of generative design geometry of physical structures, include a method including: receiving editable smooth surface(s), e.g.
    Type: Grant
    Filed: November 4, 2019
    Date of Patent: January 19, 2021
    Assignee: Autodesk, Inc.
    Inventors: Jeffrey T. Strater, Suguru Furuta, Kevin John Schneider, Brian M. Frank, Michael Andrew Smell, Jean Alison Flower, Nandakumar Santhanam
  • Publication number: 20200151286
    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using data format conversion (e.g., of output(s) from generative design processes) and user interface techniques that facilitate the production of 3D models of physical structures that are readily usable with 2.5-axis subtractive manufacturing, include: modifying smooth curves, which have been fit to contours representing discrete height layers of an object, to facilitate the 2.5-axis subtractive manufacturing; preparing an editable model of the object using a parametric feature history, which includes a sketch feature, to combine extruded versions of the smooth curves to form a 3D model of the object in a boundary representation format; reshaping a subset of the smooth curves responsive to user input with respect to the sketch feature; and replaying the parametric feature history to reconstruct the 3D model of the object, as changed by the user input.
    Type: Application
    Filed: November 8, 2019
    Publication date: May 14, 2020
    Inventors: Karl Darcy Daniel Willis, Nigel Jed Wesley Morris, Andreas Linas Bastian, Adrian Adam Thomas Butscher, Daniele Grandi, Suguru Furuta, Joseph George Lambourne, Tristan Ward Barback, Martin Cvetanov Marinov, Marco Amagliani, Jingyang John Chen, Michael Andrew Smell, Brian M. Frank, Hooman Shayani, Christopher Michael Wade, Nandakumar Santhanam
  • Publication number: 20200151953
    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for facilitating editing of generative design geometry of physical structures, include a method including: receiving editable smooth surface(s), e.g.
    Type: Application
    Filed: November 4, 2019
    Publication date: May 14, 2020
    Inventors: Jeffrey T. Strater, Suguru Furuta, Kevin John Schneider, Brian M. Frank, Michael Andrew Smell, Jean Alison Flower, Nandakumar Santhanam
  • Patent number: 10467807
    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for facilitating editing of generative design geometry of physical structures, include a method including: receiving editable smooth surface(s), e.g.
    Type: Grant
    Filed: November 9, 2018
    Date of Patent: November 5, 2019
    Assignee: Autodesk, Inc.
    Inventors: Jeffrey T. Strater, Suguru Furuta, Kevin John Schneider, Brian M. Frank, Michael Andrew Smell, Jean Alison Flower, Nandakumar Santhanam