SemanticScanpath translates gaze scanpaths into semantic text to augment speech inputs for LLMs, enabling better resolution of ambiguous human-robot requests in situated scenarios.
Integrating egocentric and robotic vision for object identification using siamese networks and superquadric estimations in partial occlusion scenarios
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SemanticScanpath: Combining Gaze and Speech for Situated Human-Robot Interaction Using LLMs
SemanticScanpath translates gaze scanpaths into semantic text to augment speech inputs for LLMs, enabling better resolution of ambiguous human-robot requests in situated scenarios.