Robotics & Machine Learning Daily News2024,Issue(Jun.18) :1-2.

Robots could clear snow, assist at crosswalks, monitor sidewalks for traffic

机器人可以清除积雪,协助人行横道,监控人行道上的交通

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :1-2.

Robots could clear snow, assist at crosswalks, monitor sidewalks for traffic

机器人可以清除积雪,协助人行横道,监控人行道上的交通

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摘要

卡内基梅隆大学研究人员的一项新研究发现,当机器人学家和残疾人共同评价机器人设计时,有趣的想法出现了,可以使现有的机器人更容易接近并激发新的用途。在他们的研究中,计算机科学学院的教员萨拉-福克斯和尼科-拉斯-马尔特拉罗强调了人行道机器人在部署期间遇到的潜在问题,并提出了解决方案,在机器人走上街头之前减轻这些问题。由人机交互研究所(HCII)博士领导的新研究。学生Howard Han上个月在ACM计算系统中人为因素会议(CHI 2024)上发表。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study by Carnegie Mellon Univers ity researchers found that when roboticists and people with disabilities collabo rate on robot designs, interesting ideas emerge that could make existing robots more accessible and inspire new uses. In their research, School of Computer Science faculty members Sarah Fox and Niko las Martelaro highlight potential issues sidewalk robots encounter during deploy ment and propose solutions to mitigate them before the robots hit the streets. T heir new study, led by Human-Computer Interaction Institute (HCII) Ph.D. student Howard Han, was presented last month at the ACM Conference on Human Factors in Computing Systems (CHI 2024).

Key words

Carnegie Mellon University/Emerging Tec hnologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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