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The proposed PRISM (Predictive Representation of Interaction Style and Motion), a framework that infers interaction traits from passive observations of human-human interactions, suggests the utility of passive latent-trait inference for social navigation in dynamic crowds.
The results show that work-aware policy optimization can suppress physically inefficient motion without requiring an explicit differentiable dynamics model.
