Robotics & Machine Learning Daily News2024,Issue(Jun.7) :88-89.

Researchers at Kingston University Release New Data on Robotics (Exploring Mobil ity and Transportation Technology Futures for People With Ambulatory Disabilitie s: a Science Fiction Prototype)

金斯顿大学的研究人员发布了关于机器人技术的新数据(探索流动残疾人的移动和交通技术未来:科幻原型)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :88-89.

Researchers at Kingston University Release New Data on Robotics (Exploring Mobil ity and Transportation Technology Futures for People With Ambulatory Disabilitie s: a Science Fiction Prototype)

金斯顿大学的研究人员发布了关于机器人技术的新数据(探索流动残疾人的移动和交通技术未来:科幻原型)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-关于机器人的详细数据已经发布。根据NewsRx Jour Nalists在英国伦敦的新闻报道,研究称:“尽管许多研究已经探索了科学功能原型作为新产品开发的一种方法,但从来没有研究使用这种方法来检查残疾人的移动和交通技术需求。目前的研究创造了一个科幻原型,根据想象研讨会上表达的专家意见,作者随后向流动残疾人样本介绍了该意见。新闻记者从金斯顿大学获得了这项研究的一句话:“通过联合分析,样本成员勾勒出了他们认为最重要的原型元素。参与者认为个人移动辅助技术(自动轮椅或艾克斯克尔伊顿)是最重要的,其次是个人自动化(自主[无人驾驶]车辆或个人机器人),第三是人物角色L辅助技术(实时响应与增强元宇宙规划系统)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting from London, United Kingdom, by NewsRx jour nalists, research stated, “Although a number of studies have explored science fi ction prototyping as a method for new product development, no study has ever use d the method to examine the mobility and transportation technology needs of peop le with disabilities. The current research created a science fiction prototype, based on expert opinion expressed during an imagination workshop, which the auth ors then presented to a sample of people with ambulatory disabilities.” The news correspondents obtained a quote from the research from Kingston Univers ity, “Through a conjoint analysis, the sample members delineated the elements of the prototype they regarded as most important. The participants considered pers onal mobility assistive technology (either an automated wheelchair or an exoskel eton) the most important, followed by personal automation (autonomous [driverless] vehicle or personal robot) and thirdly by persona l assistance technologies (real-time response versus augmented metaverse plannin g systems).”

Key words

London/United Kingdom/Europe/Emerging Technologies/Machine Learning/Robot/Robotics/Technology/Kingston Universit y

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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