Dec 21, 2023 · Abstract:Language-enabled robots have been widely studied over the past years to enable natural human-robot interaction and teaming in ...

Dec 21, 2023 · In this paper, we implement an attribute-based compositional zero-shot learning (CZSL) approach that composes a list of seen attributes and ...

Keywords: Object Reference, Zero-Shot Learning, Human-Robot Interaction. 1 ... attribute-based compositional zero-shot learning method to disentangle attributes.

Multi-Robot Collaborative Navigation with Formation Adaptation ... Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot ...

Compositional zero-shot learning aims to recognize unseen state-object compositions by leveraging known primitives (state and object) during training. Paper

The preliminary experimental results show that our implemented approach allows a robot to correctly identify the objects referred to by human commands. https:// ...

Compositional Zero-Shot Learning (CZSL) aims to recognize unseen attribute-object pairs based on a limited set of observed examples.

Zhang, “Compositional Zero-Shot Learning for Attribute-Based Object. Reference in Human-Robot Interaction,” in CoRL Bridging the Gap between Cognitive ...

Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction · Simultaneous Learning from Human Pose and Object Cues for Real ...

Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction. Peng Gao, Ahmed Jaafar, Brian Reily ...