Robotics & Machine Learning Daily News2024,Issue(MAY.6) :35-36.

Findings from Georgia Institute of Technology in Robotics and Automation Reported (Low Frequency Sampling In Model Predictive Path Integral Control)

Robotics & Machine Learning Daily News2024,Issue(MAY.6) :35-36.

Findings from Georgia Institute of Technology in Robotics and Automation Reported (Low Frequency Sampling In Model Predictive Path Integral Control)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news originating from Atlanta, Ge orgia, by NewsRx correspondents, research stated, “Sampling-basedmodel-predicti ve controllers have become a powerful optimization tool for planning and control problemsin various challenging environments.”Financial support for this research came from Jet Propulsion Laboratory, Califor nia Institute of Technology.Our news journalists obtained a quote from the research from the Georgia Institu te of Technology, “Inthis letter, we show how the default choice of uncorrelate d Gaussian distributions can be improved uponwith the use of a colored noise di stribution. Our choice of distribution allows for the emphasis on lowfrequency control signals, which can result in smoother and more exploratory samples.”

Key words

Atlanta/Georgia/United States/North and Central America/Robotics and Automation/Robotics/Georgia Institute of Tech nology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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