Patents by Inventor Kimitoshi Yamazaki

Kimitoshi Yamazaki 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).

  • Grasping apparatus, learning apparatus, learned model, grasping system, determination method, and learning method
    Patent number: 11383378
    Abstract: A grasping apparatus 1 includes: an image data acquisition unit 16; a robot arm 11; a control unit 12; and a grasping position determination unit 18 configured to determine, using the image data of photographed flexible objects in a folded and stacked state that is acquired by the image data acquisition unit 16, whether or not a part of the flexible objects in that image data is suitable for being grasped. The control unit 12 controls the robot arm 11 so as to deform ends of a top surface of the flexible object at the top of the stacked flexible objects. The grasping position determination unit 18 determines whether or not a part is suitable for being grasped using the image data of the photographed flexible object the ends of the top surface of which have been deformed.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: July 12, 2022
    Assignees: SHINSHU UNIVERSITY, TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Kimitoshi Yamazaki, Kazuki Sano, Satonori Demura, Wataru Nakajima, Keisuke Takeshita
  • GRASPING APPARATUS, LEARNING APPARATUS, LEARNED MODEL, GRASPING SYSTEM, DETERMINATION METHOD, AND LEARNING METHOD
    Publication number: 20190184554
    Abstract: A grasping apparatus 1 includes: an image data acquisition unit 16; a robot arm 11; a control unit 12; and a grasping position determination unit 18 configured to determine, using the image data of photographed flexible objects in a folded and stacked state that is acquired by the image data acquisition unit 16, whether or not a part of the flexible objects in that image data is suitable for being grasped. The control unit 12 controls the robot arm 11 so as to deform ends of a top surface of the flexible object at the top of the stacked flexible objects. The grasping position determination unit 18 determines whether or not a part is suitable for being grasped using the image data of the photographed flexible object the ends of the top surface of which have been deformed.
    Type: Application
    Filed: December 10, 2018
    Publication date: June 20, 2019
    Applicants: SHINSHU UNIVERSITY, TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Kimitoshi YAMAZAKI, Kazuki SANO, Satonori DEMURA, Wataru NAKAJIMA, Keisuke TAKESHITA
  • Feature extraction method, object classification method, object identification method, feature extraction device, object classification device, object identification device, feature extraction/object classification/object identification program, and recording medium on which the program is recorded
    Patent number: 9230313
    Abstract: Provided is a feature extraction that extracts a feature that represents a characteristic of a subject, the feature being extracted from an image that has imaged the subject, the feature being extracted without relation to the shape of the subject. The feature extraction extracts the feature from the image of the subject, the subject having been imaged by an imaging means.
    Type: Grant
    Filed: July 18, 2012
    Date of Patent: January 5, 2016
    Assignee: Japan Science and Technology Agency
    Inventors: Kimitoshi Yamazaki, Masayuki Inaba
  • FEATURE EXTRACTION METHOD, OBJECT CLASSIFICATION METHOD, OBJECT IDENTIFICATION METHOD, FEATURE EXTRACTION DEVICE, OBJECT CLASSIFICATION DEVICE, OBJECT IDENTIFICATION DEVICE, FEATURE EXTRACTON/OBJECT CLASSIFICATION/OBJECT IDENTIFICATION PROGRAM, AND RECORDING MEDIUM ON WHICH THE PROGRAM IS RECORDED
    Publication number: 20150043819
    Abstract: Provided are: a feature extraction method that is a method of extracting a feature that represents a characteristic of a subject, said feature being extracted from an image that has imaged the subject, said feature being extracted without relation to the shape of said subject; and methods that use the extracted feature to classify and identify the subject. The feature extraction method extracts the feature from the image of the subject, said subject having been imaged by an imaging means.
    Type: Application
    Filed: July 18, 2012
    Publication date: February 12, 2015
    Applicant: JAPAN SCIENCE AND TECHNOLOGY AGENCY
    Inventors: Kimitoshi Yamazaki, Masayuki Inaba