Robotics & Machine Learning Daily News2024,Issue(Mar.6) :113-114.

"Interference Determination Device, Robot Control System, And Method For Determi ning Interference" in Patent Application Approval Process (USPTO 20240051135)

Robotics & Machine Learning Daily News2024,Issue(Mar.6) :113-114.

"Interference Determination Device, Robot Control System, And Method For Determi ning Interference" in Patent Application Approval Process (USPTO 20240051135)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors BUNNO, Sho (Osaka-shi, Osaka, JP); MIYAMOTO, Takuya (Kadoma-shi, Osaka, JP); MOR I, Masato (Osaka-shi, Osaka, JP); ONO, Kazuki (Osaka-shi, Osaka, JP), filed on D ecember 23, 2021, was made available online on February 15, 2024, according to n ews reporting originating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "Methods used by robots to avoid objects are kno wn. Patent Literature 1, for example, describes an apparatus that converts a thr ee-dimensional robot model into a two-dimensional robot model and that determine s interference of the two-dimensional model." In addition to the background information obtained for this patent application, NewsRx journalists also obtained the inventors' summary information for this pat ent application: "In an embodiment of the present disclosure, an interference de termination device includes a controller that determines interference between a robot and an object. The controller obtains a plurality of vertices of at least one object within a motion range of the robot in a real space and positional inf ormation regarding the plurality of vertices. The controller determines interfer ence between the robot and the object in the real space on a basis of the plural ity of vertices and the positional information.

Key words

Emerging Technologies/Machine Learning/Patent Application/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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