首页|University of South Carolina Researchers Describe Findings in Robotics (U-TFF: A U-Net-Based Anomaly Detection Framework for Robotic Manipulator Energy Consumpt ion Auditing Using Fast Fourier Transform)
University of South Carolina Researchers Describe Findings in Robotics (U-TFF: A U-Net-Based Anomaly Detection Framework for Robotic Manipulator Energy Consumpt ion Auditing Using Fast Fourier Transform)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on robotics have been published. According to news reportingoriginating from Columbia, South Ca rolina, by NewsRx correspondents, research stated, “Robotic manipulatorsplay a key role in modern industrial manufacturing processes. Monitoring their operatio nal healthis of paramount importance.”
University of South CarolinaColumbiaSouth CarolinaUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningRoboticsRobots
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