Robotics & Machine Learning Daily News2024,Issue(Nov.20) :42-43.

Reports Outline Robotics Study Results from Georgia Institute of Technology (Tru st-preserved Human-robot Shared Autonomy Enabled By Bayesian Relational Event Mo deling)

报告概述了佐治亚理工学院的机器人研究结果(贝叶斯关系事件模型支持的Tru ST保留人类-机器人共享自主)

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :42-43.

Reports Outline Robotics Study Results from Georgia Institute of Technology (Tru st-preserved Human-robot Shared Autonomy Enabled By Bayesian Relational Event Mo deling)

报告概述了佐治亚理工学院的机器人研究结果(贝叶斯关系事件模型支持的Tru ST保留人类-机器人共享自主)

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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-一项关于机器人的新研究现在已经开始。根据来自…的消息佐治亚州亚特兰大市,由NewsRx记者s报道,研究表明:“共享自治的功能是一种灵活的EMPO的框架,使机器人能够在一系列的自主水平上操作,从而实现高效的任务的执行与最低限度的人工监督。然而,人类可能会被自主的由于感知到的风险和缺乏信任,机器人的决策能力。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Robotics is now availab le. According to news originating fromAtlanta, Georgia, by NewsRx correspondent s, research stated, “Shared autonomy functions as a flexibleframework that empo wers robots to operate across a spectrum of autonomy levels, allowing for effici enttask execution with minimal human oversight. However, humans might be intimi dated by the autonomousdecision-making capabilities of robots due to perceived risks and a lack of trust.”

Key words

Atlanta/Georgia/United States/North a nd Central America/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Georgia Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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