Robotics & Machine Learning Daily News2024,Issue(Jun.24) :116-120.

Patent Application Titled 'Low-Profile Robotic Platform' Published Online (USPTO 20240184289)

在线发表的名为“低姿态机器人平台”的专利申请(USPTO 20240184289)

Robotics & Machine Learning Daily News2024,Issue(Jun.24) :116-120.

Patent Application Titled 'Low-Profile Robotic Platform' Published Online (USPTO 20240184289)

在线发表的名为“低姿态机器人平台”的专利申请(USPTO 20240184289)

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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-根据来自华盛顿特区的新闻报道,发明者KOEVE NIG,Jordan Matthew(俄亥俄州希利亚德);NGUYEN,An Thi Thuy(俄亥俄州扬斯敦);TRAZKOVICH,Alex Joseph(俄亥俄州加莱纳)于2024年2月13日提交的专利申请于2024年6月6本专利申请的受让人是Sea有限公司(俄亥俄州哥伦布市)。记者从发明者提供的背景资料中获得了以下引述:“从历史上看,汽车测试主要集中在车辆的性能特征以及驾驶员和乘客的安全上。最近,汽车技术的进步引入了新的特征,这些特征需要或可能需要更严格的测试和监管。一些新的特征可能包括先进的驾驶员系统、先进的驾驶员辅助系统、自动驾驶系统、自动驾驶系统、部分自动驾驶系统等。一个或多个这样的系统可以增强汽车的操作(例如提醒驾驶员注意危险),或者可以代替人类操作员自动驾驶汽车。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-According to news reporting originating from Wash ington, D.C., by NewsRx journalists, a patent application by the inventors KOEVE NIG, Jordan Matthew (Hilliard, OH, US); NGUYEN, An Thi Thuy (Youngstown, OH, US) ; TRAZKOVICH, Alex Joseph (Galena, OH, US), filed on February 13, 2024, was made available online on June 6, 2024. The assignee for this patent application is Sea Ltd. (Columbus, Ohio, United Sta tes). Reporters obtained the following quote from the background information supplied by the inventors: "Historically, automotive testing has focused primarily on a v ehicle's performance characteristics and driver and passenger safety. Recently, advances in automotive technology have introduced new features that are, or are likely to be, subject to more stringent testing and regulation. Some new feature s may include advanced driver systems, advanced driver-assistance systems, assis ted driving systems, autonomous driving systems, partially autonomous driving sy stems, and the like. One or more such systems may enhance the operation of an au tomobile (such as alerting a driver to hazards) or may autonomously drive a vehi cle in place of a human operator.

Key words

Automobiles/Business/Emerging Technolo gies/Machine Learning/Robotics/Robots/Sea Ltd./Transportation

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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