Mauro Comi — accepted AI-conference papers

2024

TouchSDF: A DeepSDF Approach for 3D Shape Reconstruction Using Vision-Based Tactile Sensing

Mauro Comi, Yijiong Lin, Alex Church, Alessio Tonioni, Laurence Aitchison, Nathan F. Lepora

RA-L 2024

Humans rely on their visual and tactile senses to develop a comprehensive 3D understanding of their physical environment. Recently, there has been a growing interest in exploring and manipulating objects using data-driven approaches that utilise high-resolution vision-based tactile sensors. However,

Cited by 33 Source ↗code ↗Scholar ↗

2023

Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control

Yijiong Lin, Mauro Comi, Alex Church, Dandan Zhang, Nathan F. Lepora

IROS 2023poster

High-resolution tactile sensing can provide accurate information about local contact in contact-rich robotic tasks. However, the deployment of such tasks in unstructured environments remains under-investigated. To improve the robustness of tactile robot control in unstructured environments, we propo…

Cited by 3 Source ↗Scholar ↗