Patents Assigned to Deep Learning Robotics Ltd.
  • Patent number: 10974394
    Abstract: According to an aspect of some embodiments of the present invention there is provided a method for generating a dataset mapping visual features of each of a plurality of objects, comprising: for each of a plurality of different objects: instructing a robotic system to move an arm holding a respective the object to a plurality of positions, and when the arm is in each of the plurality of positions: acquiring at least one image depicting the respective object in the position, receiving positional information of the arm in respective the position, analyzing the at least one image to identify at least one visual feature of the object in the respective position, and storing, in a mapping dataset, an association between the at least one visual feature and the positional information, and outputting the mapping dataset.
    Type: Grant
    Filed: May 18, 2017
    Date of Patent: April 13, 2021
    Assignee: Deep Learning Robotics Ltd.
    Inventors: Carlos Benaim, Tsofnat Barsheshet
  • Patent number: 10571896
    Abstract: A method for defining a robotic machine task. The method comprises a) collecting a sequence of a plurality of images showing at least one demonstrator performing at least one manipulation of at least one object, b) performing an analysis of said sequence of a plurality of images to identify demonstrator body parts manipulating said at least one object and said at least one manipulation of said at least one object, c) determining at least one robotic machine movement to perform said task, and d) generating at least one motion command for instructing said robotic machine to perform said task.
    Type: Grant
    Filed: August 21, 2017
    Date of Patent: February 25, 2020
    Assignee: Deep Learning Robotics Ltd.
    Inventors: Carlos Benaim, Miriam Reiner
  • Publication number: 20190126487
    Abstract: According to an aspect of some embodiments of the present invention there is provided a method for generating a dataset mapping visual features of each of a plurality of objects, comprising: for each of a plurality of different objects: instructing a robotic system to move an arm holding a respective the object to a plurality of positions, and when the arm is in each of the plurality of positions: acquiring at least one image depicting the respective object in the position, receiving positional information of the arm in respective the position, analyzing the at least one image to identify at least one visual feature of the object in the respective position, and storing, in a mapping dataset, an association between the at least one visual feature and the positional information, and outputting the mapping dataset.
    Type: Application
    Filed: May 18, 2017
    Publication date: May 2, 2019
    Applicant: Deep Learning Robotics Ltd.
    Inventors: Carlos BENAIM, Tsofnat BARSHESHET
  • Publication number: 20170343992
    Abstract: A method for defining a robotic machine task. The method comprises a) collecting a sequence of a plurality of images showing at least one demonstrator performing at least one manipulation of at least one object, b) performing an analysis of said sequence of a plurality of images to identify demonstrator body parts manipulating said at least one object and said at least one manipulation of said at least one object, c) determining at least one robotic machine movement to perform said task, and d) generating at least one motion command for instructing said robotic machine to perform said task.
    Type: Application
    Filed: August 21, 2017
    Publication date: November 30, 2017
    Applicant: Deep Learning Robotics Ltd.
    Inventors: Carlos BENAIM, Miriam REINER
  • Patent number: 9753453
    Abstract: A method for defining a robotic machine task. The method comprises a) collecting a sequence of a plurality of images showing at least one demonstrator performing at least one manipulation of at least one object, b) performing an analysis of said sequence of a plurality of images to identify demonstrator body parts manipulating said at least one object and said at least one manipulation of said at least one object, c) determining at least one robotic machine movement to perform said task, and d) generating at least one motion command for instructing said robotic machine to perform said task.
    Type: Grant
    Filed: July 9, 2013
    Date of Patent: September 5, 2017
    Assignee: Deep Learning Robotics Ltd.
    Inventors: Carlos Benaim, Miriam Reiner