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arXiv · 2609.32346

Human Motion Prediction for Human-Robot Collaboration

Placido Falqueto·Elena Basei·Edoardo Lamon·Giovanni Perantoni·Matteo Saveriano·Daniele Fontanelli·Luigi Palopoli
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Abstract

This paper compares three human motion prediction methods - GMM-based clustering, TransFusion, and Graph-Mixer - evaluating their effectiveness in human-robot collaboration. These predictions are valuable for improving robot motion planning by anticipating human movements and enhancing safety and efficiency in dynamic environments.

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Placido Falqueto, Elena Basei, Edoardo Lamon, Giovanni Perantoni, Matteo Saveriano, Daniele Fontanelli, Luigi Palopoli. 2026-09-26. Human Motion Prediction for Human-Robot Collaboration. https://arxiv.org/abs/2609.32346

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