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    • 8. 发明申请
    • STABLE GRASP POINT SELECTION FOR ROBOTIC GRIPPERS WITH MACHINE VISION AND ULTRASOUND BEAM FORMING
    • 具有机器视觉和超声波束形成的机器人的稳定格点选择
    • US20170008172A1
    • 2017-01-12
    • US14794648
    • 2015-07-08
    • Empire Technology Development LLC
    • Harm Stefan Cronie
    • B25J9/16
    • B25J9/1669B25J9/1612B25J9/1697G05B2219/39505G05B2219/39509G05B2219/39536G05B2219/40053
    • Technologies are generally described for grasp point selection for robotic grippers through machine vision and ultrasound beam based deformation. The grasp point selection may aim to increase a probability that the grasp points on an object behave in a substantially similar way when a robotic gripper executes a corresponding grasp on the object. According to some examples, an outline of an object may be extracted from a three-dimensional (3D) image of the object and a set of points may be selected as candidate grasp points from the outline based on the candidate grasp points' potential to achieve force closure. One or more ultrasound transducers may be used to exert a local force on the candidate grasp points through an ultrasound beam and resulting local deformations may be recorded. Final grasp points may be selected based on having similar response to the force applied by the ultrasound transducers.
    • 通常通过机器视觉和基于超声波束的变形来描述用于机器人抓爪的抓取点选择的技术。 抓握点选择可以旨在增加当机器人抓取器对对象执行相应的抓握时基本相似的方式上的对象上的抓握点的概率。 根据一些示例,可以从对象的三维(3D)图像中提取对象的轮廓,并且可以基于候选抓取点的潜力来从轮廓中选择一组点作为候选抓取点 强制关闭。 可以使用一个或多个超声换能器通过超声波束在候选抓握点上施加局部力,并且可以记录所得到的局部变形。 可以基于对由超声换能器施加的力具有相似的响应来选择最终抓握点。