Robot Learning from Human Demonstrations: Handwritten Alphabet Trajectories and Human-Likeness Evaluation
Learning from demonstration (LfD) provides a developmental framework through which robots can develop motor skills by observing and imitating human dynamics, reducing reliance on explicit programming to teach a skill to a robot. The resulting human-like robot motion is recognised as a key factor in building trust and enabling natural collaboration in human-robot interaction. This paper presents a framework for learning human-like robot motion from demonstration, including data collection, probab
Record details
Published: 6 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Agents & autonomy
Retrieved: 7 August 2026
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ethics.ai (6 August 2026), “Robot Learning from Human Demonstrations: Handwritten Alphabet Trajectories and Human-Likeness Evaluation,” evidence record 17355, https://ethics.ai/record/17355 (originally published by arXiv cs.HC).
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