Patents Assigned to Deep Learning Robotics Ltd.
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Patent number: 10974394Abstract: 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: GrantFiled: May 18, 2017Date of Patent: April 13, 2021Assignee: Deep Learning Robotics Ltd.Inventors: Carlos Benaim, Tsofnat Barsheshet
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Patent number: 10571896Abstract: 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: GrantFiled: August 21, 2017Date of Patent: February 25, 2020Assignee: Deep Learning Robotics Ltd.Inventors: Carlos Benaim, Miriam Reiner
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Publication number: 20190126487Abstract: 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: ApplicationFiled: May 18, 2017Publication date: May 2, 2019Applicant: Deep Learning Robotics Ltd.Inventors: Carlos BENAIM, Tsofnat BARSHESHET
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Publication number: 20170343992Abstract: 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: ApplicationFiled: August 21, 2017Publication date: November 30, 2017Applicant: Deep Learning Robotics Ltd.Inventors: Carlos BENAIM, Miriam REINER
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Patent number: 9753453Abstract: 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: GrantFiled: July 9, 2013Date of Patent: September 5, 2017Assignee: Deep Learning Robotics Ltd.Inventors: Carlos Benaim, Miriam Reiner