Robotics & Machine Learning Daily News2024,Issue(Nov.25) :76-76.

New Data from Georgia Institute of Technology Illuminate Findingsin Robotics (C e-mrs: Contrastive Explanations for Multi-robot Systems)

佐治亚理工学院的新数据阐明了这一发现机器人学(C E-MRS:多机器人系统的对比解释)

Robotics & Machine Learning Daily News2024,Issue(Nov.25) :76-76.

New Data from Georgia Institute of Technology Illuminate Findingsin Robotics (C e-mrs: Contrastive Explanations for Multi-robot Systems)

佐治亚理工学院的新数据阐明了这一发现机器人学(C E-MRS:多机器人系统的对比解释)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的研究发现在一份新的报告中被使用。据新闻报道NewsRx记者在Georg Ia亚特兰大市的报道中说,“由于事件的复杂性。”多机器人系统发展为包含更多的机器人、更复杂的任务和更长的时间从时间的角度来看,这些问题的解决方案往往变得过于复杂,人类无法完全理解用户。

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 in Atlanta, Georg ia, by NewsRx journalists, research stated, “As the complexity ofmulti-robot sy stems grows to incorporate a greater number of robots, more complex tasks, and l ongertime horizons, the solutions to such problems often become too complex to be fully intelligible to humanusers.”

Key words

Atlanta/Georgia/United States/North a nd Central America/Emerging Technologies/Machine Learning/Robot/Robotics/Ge orgia Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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