首页|New Data from University of Tennessee Illuminate Findings in Robotics (Surface L ocation Error In Robotic Milling: Effect of Combined Low Frequency and High Freq uency Vibration Modes)
New Data from University of Tennessee Illuminate Findings in Robotics (Surface L ocation Error In Robotic Milling: Effect of Combined Low Frequency and High Freq uency Vibration Modes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting originating fromKnoxville, Tennessee, by NewsRx correspondents, research stated, “This paper describes surface locationerror (S LE) for serial kinematic robot milling. It includes frequency-domain models for milling stabilityand SLE, which both use a mechanistic force model and tool tip frequency response functions as inputs.”Funders for this research include United States Department of Energy (DOE), Nati onal Science Foundation(NSF).
KnoxvilleTennesseeUnited StatesNor th and Central AmericaEmerging TechnologiesMachine LearningRobotRoboticsRobotsUniversity of Tennessee
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