most citedImproving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning

2 citations · 2 across the 2 of their papers we have counts for

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cs.RO2023

CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation

Chen Jiang, Yuchen Yang, Martin Jagersand

The classical human-robot interface in uncalibrated image-based visual servoing (UIBVS) relies on either human annotations or semantic segmentation with categorical labels. Both me…