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Keywords: active learning
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Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. May 2025, 147(3): 031007.
Paper No: DS-24-1160
Published Online: October 23, 2024
..., can be slow and consequently time prohibitive. The main contributions of this work are: (i) to use Gaussian process (GP) methods to learn the robot-pose map for force normality at unmeasured workpiece locations; and (ii) to use active learning to optimally select and minimize the number of measurement...
Topics: Robots, Stiffness