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cs.RO2025

Cross-Sensor Touch Generation

Samanta Rodriguez, Yiming Dou, Miquel Oller +2

Today's visuo-tactile sensors come in many shapes and sizes, making it challenging to develop general-purpose tactile representations. This is because most models are tied to a spe…

cs.RO2025

Hydrosoft: Non-Holonomic Hydroelastic Models for Compliant Tactile Manipulation

Miquel Oller, An Dang, Nima Fazeli

Tactile sensors have long been valued for their perceptual capabilities, offering rich insights into the otherwise hidden interface between the robot and grasped objects. Yet their…

cs.RO2025

Estimating Deformable-Rigid Contact Interactions for a Deformable Tool via Learning and Model-Based Optimization

Mark Van der Merwe, Miquel Oller, Dmitry Berenson +1

Dexterous manipulation requires careful reasoning over extrinsic contacts. The prevalence of deforming tools in human environments, the use of deformable sensors, and the increasin…

cs.RO2024

Neural Inverse Source Problems

Youngsun Wi, Jayjun Lee, Miquel Oller +1

Reconstructing unknown external source functions is an important perception capability for a large range of robotics domains including manipulation, aerial, and underwater robotics…

cs.RO2024

Contrastive Touch-to-Touch Pretraining

Samanta Rodriguez, Yiming Dou, William van den Bogert +4

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 unifie…

cs.RO2024

Tactile Neural De-rendering

Jose A. Eyzaguirre, Miquel Oller, Nima Fazeli

Tactile sensing has proven to be an invaluable tool for enhancing robotic perception, particularly in scenarios where visual data is limited or unavailable. However, traditional me…