Robotics & Machine Learning Daily News2024,Issue(Jun.21) :91-93.

Patent Issued for Mobile robot interactions independent of localization data (US PTO 11999568)

独立于定位数据的移动机器人交互专利(US PTO 11999568)

Robotics & Machine Learning Daily News2024,Issue(Jun.21) :91-93.

Patent Issued for Mobile robot interactions independent of localization data (US PTO 11999568)

独立于定位数据的移动机器人交互专利(US PTO 11999568)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-根据NewsRx记者从弗吉尼亚州亚历山大市发回的新闻报道,发明者杜拉伊、阿拉文德(加利福尼亚州帕洛阿尔托)、拉奥、拉胡尔(加利福尼亚州桑尼维尔)于2020年12月23日提交的专利于2024年6月4日在网上公布。该专利的受让人是Hds Mercury Inc。(美国加利福尼亚州帕洛阿尔托)。记者从发明人提供的背景信息中获得了以下引文:“1.本发明的领域”本发明的领域是一种采用移动机器人框架和动力传递系统的仓库自动化系统。该组合包括改进的自动化存储和检索系统。“2.本发明的背景”在各种实施例中,本发明提供了一种自动化存储位置的解决方案,所述存储位置可以是具有库存的任何工作地点,例如履行中心、仓库或配送中心。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Du rai, Aravind (Palo Alto, CA, US), Rao, Rahul (Sunnyvale, CA, US), filed on Decem ber 23, 2020, was published online on June 4, 2024. The assignee for this patent, patent number 11999568, is Hds Mercury Inc. (Palo Alto, California, United States). Reporters obtained the following quote from the background information supplied by the inventors: "1. Field of the Invention "The field of the invention is a system for automation of a warehouse employing a mobile robotic frame and a power transfer system. The combination comprises an improved automated storage and retrieval system. "2. Background of the Invention "In various embodiments, the invention provides a solution for automating a stor age location, including non-powered shelves. The storage location can be any job site with an inventory, such as a fulfillment center, a warehouse, or a distrib ution center.

Key words

Acute-Phase Proteins/Beta-Globulins/Bl ood Proteins/Business/Carrier Proteins/Emerging Technologies/Hds Mercury Inc ./Iron-Binding Proteins/Machine Learning/Proteins/Robot/Robotics/Robots/T ransferrin

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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