Robotics & Machine Learning Daily News2024,Issue(MAY.6) :118-118.

Studies from Clemson University Provide New Data on Robotics (A Study In Zucker: Insights On Interactions Between Humans and Small Service Robots)

Robotics & Machine Learning Daily News2024,Issue(MAY.6) :118-118.

Studies from Clemson University Provide New Data on Robotics (A Study In Zucker: Insights On Interactions Between Humans and Small Service Robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Robotics are disc ussed in a new report. According to newsreporting originating from Clemson, Sou th Carolina, by NewsRx correspondents, research stated, “Despiterecent advancem ents in human-robot interaction (HRI), there is still limited knowledge about ho w humansinteract and behave in the presence of small service indoor robots and, subsequently, about the humancenteredbehavior of such robots. This also raise s concerns about the applicability of current trajectoryprediction methods to i ndoor HRI settings as well as the accuracy of existing crowd simulation models in shared environments.”Financial support for this research came from National Science Foundation (NSF).Our news editors obtained a quote from the research from Clemson University, “To address these issues,we introduce a new HRI dataset focusing on interactions b etween humans and small differential drive robotsrunning different types of con trollers. Our analysis shows that anticipatory and non-anticipatory robotcontro llers impose similar constraints to humans’ safety and efficiency. Additionally, we found that currentstate-of-the-art models for human trajectory prediction c an adequately extend to indoor HRI settings.”

Key words

Clemson/South Carolina/United States/North and Central America/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Clemson University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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