In Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation
원문 초록
In social robot navigation, traditional metrics like proxemics and behavior naturalness emphasize human comfort and adherence to social norms but often fail to capture an agent's autonomy and adaptability in dynamic environments. This paper introduces human empowerment, an information-theoretic concept that measures a human's ability to influence their future states and observe those changes, as a complementary metric for evaluating social compliance. This metric reveals how robot navigation policies can indirectly impact human empowerment. We present a framework that integrates human empowerment into the evaluation of social performance in navigation tasks. Through numerical simulations, we demonstrate that human empowerment as a metric not only aligns with intuitive social behavior, but also shows statistically significant differences across various robot navigation policies. These results provide a deeper understanding of how different policies affect social compliance, highlighting the potential of human empowerment as a complementary metric for future research in social navigation.
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Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
Online Context Learning for Socially Compliant Navigation
Improving Generalization in Reinforcement Learning Training Regimes for Social Robot Navigation
Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization
COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning
GSON: A Group-based Social Navigation Framework with Large Multimodal Model
토론
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