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cs.RO2026
Grounding Hierarchical Vision-Language-Action Models Through Explicit Language-Action Alignment
Theodor Wulff, Federico Tavella, Rahul Singh Maharjan +2
Achieving robot transparency is a critical step toward effective human-robot collaboration. To be transparent, a robot's natural language communication must be consistent with its…
cs.CV2026
Hierarchical, Interpretable, Label-Free Concept Bottleneck Model
Haodong Xie, Yujun Cai, Rahul Singh Maharjan +3
Concept Bottleneck Models (CBMs) introduce interpretability to black-box deep learning models by predicting labels through human-understandable concepts. However, unlike humans, wh…