Invention Grant
- Patent Title: Natural machine interface system
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Application No.: US13937397Application Date: 2013-07-09
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Publication No.: US09753453B2Publication Date: 2017-09-05
- Inventor: Carlos Benaim , Miriam Reiner
- Applicant: Deep Learning Robotics Ltd.
- Applicant Address: IL Ashdod
- Assignee: Deep Learning Robotics Ltd.
- Current Assignee: Deep Learning Robotics Ltd.
- Current Assignee Address: IL Ashdod
- Main IPC: G05B19/418
- IPC: G05B19/418 ; G05B19/4061 ; G06F17/50 ; G06K9/00

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.
Public/Granted literature
- US20140012415A1 NATURAL MACHINE INTERFACE SYSTEM Public/Granted day:2014-01-09
Information query
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