Year: 2024
Type: preprint
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.
Source: arXiv (Cornell University)
Authors: Falqueto, Placido, Basei, Elena, Lamon, Edoardo, Perantoni, Giovanni, Saveriano, Matteo, Fontanelli, Daniele, Palopoli, Luigi
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930311591
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