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Samanta Rodriguez

3 accepted papers

2025

Contrastive Touch-to-Touch Pretraining

ICRA 2025

Today's tactile sensors have a variety of different designs, making it challenging to develop general-purpose methods for processing touch signals. In this paper, we learn a unified representation that captures the shared information between different tactile sensors. Unlike current approaches that

Cited by 6SourceScholar
2025

Tactile Functasets: Neural Implicit Representations of Tactile Datasets

ICRA 2025

Modern incarnations of tactile sensors produce high-dimensional raw sensory feedback such as images, making it challenging to efficiently store, process, and generalize across sensors. To address these concerns, we introduce a novel implicit function representation for tactile sensor feedback. Rathe

Cited by 3SourceScholar