首页|Findings from Georgia Institute of Technology in Robotics and Automation Reported (Low Frequency Sampling In Model Predictive Path Integral Control)
Findings from Georgia Institute of Technology in Robotics and Automation Reported (Low Frequency Sampling In Model Predictive Path Integral Control)
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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.”
AtlantaGeorgiaUnited StatesNorth and Central AmericaRobotics and AutomationRoboticsGeorgia Institute of Tech nology
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