Robotics & Machine Learning Daily News2024,Issue(Jun.4) :141-143.

'Robot Gripper and Method of Using It' in Patent Application Approval Process (U SPTO 20240157580)

专利申请批准过程中的“机器人夹钳及其使用方法”(U SPTO 20240157580)

Robotics & Machine Learning Daily News2024,Issue(Jun.4) :141-143.

'Robot Gripper and Method of Using It' in Patent Application Approval Process (U SPTO 20240157580)

专利申请批准过程中的“机器人夹钳及其使用方法”(U SPTO 20240157580)

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摘要

Robotics&Machine Learning Daily News Daily News的新闻记者兼新闻编辑-发明者鲁迪(Huizingen,BE);威廉范德霍伊东克(Halle,BE)于2024年1月25日提交的专利申请,根据来自华盛顿特区的新闻报道G,2024年5月16日在网上公布。本专利申请转让给ABB Schweiz AG(瑞士巴登)。新闻编辑们从发明者提供的背景资料中获得了以下一句话:“尽管进行了大量的开发,但目前的机器人抓手的灵活性和灵活性远远低于人类的手,大多数双指抓手只能通过挤压来抓住物体,所以如果物体屈服于挤压压力,它很可能会从夹具中逸出,或者,如果夹具被控制以保持一定的挤压压力,则会被它压碎。当抓握面没有缓冲时,它只会在物体非常有限的表面区域上施加挤压力,因此很可能会损坏物体。具有三个弯曲手指的夹具可以在不挤压物体的情况下抓住物体。但不适合处理长方体形状的物体。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventors Leroy, Rudi (Huizingen, BE); Vanderhoydonk, Willem (Halle, BE), filed on January 25, 2024, was made available online on May 16, 2024, according to news reportin g originating from Washington, D.C., by NewsRx correspondents. This patent application is assigned to ABB Schweiz AG (Baden, Switzerland). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Despite intensive development efforts, versatil ity and dexterity of current robot grippers falls far short of those of the huma n hand. Most two-finger grippers can hold an object only by squeezing it, so tha t if an object yields to the squeezing pressure, it is likely to escape from the gripper, or, if the gripper is controlled to maintain a certain squeezing press ure, be crushed by it. When a gripping surface isn’t cushioned, it will exercise its squeezing force only onto a very limited surface region of the object, and is thus likely to damage it. Grippers with three curved fingers can seize an obj ect without pressing it, but are ill-suited for handling objects of cuboid shape .”

Key words

ABB Schweiz AG/Business/Emerging Techn ologies/Machine Learning/Robot/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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