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Found 3 papers, 2 papers with code
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication
In this work, we present MIRROR, an approach to (i) quickly learn human models from human demonstrations, and (ii) use the models for subsequent communication planning in assistive shared-control settings.
Improving Layer-wise Adaptive Rate Methods using Trust Ratio Clipping
Training neural networks with large batch is of fundamental significance to deep learning.
Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration
Common experience suggests that agents who know each other well are better able to work together.
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