Human Motion Prediction for Human-Robot Collaboration

Falqueto, Placido; Basei, Elena; Lamon, Edoardo; Perantoni, Giovanni; Saveriano, Matteo; Fontanelli, Daniele; Palopoli, Luigi

doi:10.5281/zenodo.14731153

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Human Motion Prediction for Human-Robot Collaboration

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

Year: 2024 Journal: Zenodo (CERN European Organization for Nuclear Research) Publisher: European Organization for Nuclear Research

DOI: 10.5281/zenodo.14731153

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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.

Keywords:

Human motion Motion (physics) Robot Motion planning Human–robot interaction Motion capture

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Human Motion Prediction for Human-Robot Collaboration

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