4 citations · 8 across the 4 of their papers we have counts for
4 papers
GelSlim 4.0: Focusing on Touch and Reproducibility
Andrea Sipos, William van den Bogert, Nima Fazeli
Tactile sensing provides robots with rich feedback during manipulation, enabling a host of perception and controls capabilities. Here, we present a new open-source, vision-based ta…
MultiSCOPE: Disambiguating In-Hand Object Poses with Proprioception and Tactile Feedback
Andrea Sipos, Nima Fazeli
In this paper, we propose a method for estimating in-hand object poses using proprioception and tactile feedback from a bimanual robotic system. Our method addresses the problem of…
Visuo-Tactile Transformers for Manipulation
Yizhou Chen, Andrea Sipos, Mark Van der Merwe +1
Learning representations in the joint domain of vision and touch can improve manipulation dexterity, robustness, and sample-complexity by exploiting mutual information and compleme…
Simultaneous Contact Location and Object Pose Estimation Using Proprioception and Tactile Feedback
Andrea Sipos, Nima Fazeli
Joint estimation of grasped object pose and extrinsic contacts is central to robust and dexterous manipulation. In this paper, we propose a novel state-estimation algorithm that jo…