arXiv:2609.32346
Human Motion Prediction for Human-Robot Collaboration
Human Motion Prediction for Human-Robot Collaboration
著者: Placido Falqueto, Elena Basei, Edoardo Lamon, Giovanni Perantoni, Matteo Saveriano, Daniele Fontanelli, Luigi Palopoli
分類: cs.RO
原文アブストラクト
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.