Preprint
Aug 2026
PAMoR: Parameterized Affective Motion Generation in Real Time for Humanoid Robots
PAMoR is presented, which turns affect into a measured control parameter: a valence-arousal coordinate computed natively on robot kinematics, obtained in closed form from postural expansion and movement energy, and these measurements serve directly as generation conditions, with no human annotation.
Yan Pan, Ling-Fan Bao, Tian-Hu Peng et al.
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