Article

Smooth Trajectory Generation in Robotics from Human Demonstrations Using ANN and LSTM Networks

2026-08-21

Abstract excerpt

Trajectory smoothing is a fundamental requirement in robotic systems, as abrupt velocity variations and discontinuities may generate vibrations, increase mechanical stress, and reduce motion accuracy. This paper presents a data-driven methodology for smooth trajectory generation based on human demonstrations, data augmentation, and deep learning techniques. Human-executed trajectories were acquired from video reco...

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Literature Corpus work: 7f86d0f6-3c5c-51c4-9609-e36709f8d0fd
DOI: 10.20944/preprints202608.1567.v1

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