Preprint
Aug 2026
Robot Learning from Human Demonstrations: Handwritten Alphabet Trajectories and Human-Likeness Evaluation
A framework for learning human-like robot motion from demonstration, including data collection, probabilistic trajectory learning, and perceptual user evaluation is presented, extending the widely used Gaussian Mixture Model and Gaussian Mixture Regression approach for learning from demonstration.
Alperen Kenan, Paul A. Bremner, Manuel Giuliani
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