48 citations · 83 across the 7 of their papers we have counts for
15 papers · 1 filter
simPLE: a visuotactile method learned in simulation to precisely pick, localize, regrasp, and place objects
Maria Bauza, Antonia Bronars, Yifan Hou +3
Existing robotic systems have a clear tension between generality and precision. Deployed solutions for robotic manipulation tend to fall into the paradigm of one robot solving a si…
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao +36
The ability to leverage heterogeneous robotic experience from different robots and tasks to quickly master novel skills and embodiments has the potential to transform robot learnin…
FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback
Jialiang Zhao, Maria Bauza, Edward H. Adelson
In this paper, we address the problem of using visuo-tactile feedback for 6-DoF localization and 3D reconstruction of unknown in-hand objects. We propose FingerSLAM, a closed-loop…
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering
Maria Bauza, Eric Valls, Bryan Lim +2
In this paper, we present an approach to tactile pose estimation from the first touch for known objects. First, we create an object-agnostic map from real tactile observations to c…
Tactile SLAM: Real-time inference of shape and pose from planar pushing
Sudharshan Suresh, Maria Bauza, Kuan-Ting Yu +3
Tactile perception is central to robot manipulation in unstructured environments. However, it requires contact, and a mature implementation must infer object models while also acco…
Accurate Vision-based Manipulation through Contact Reasoning
Alina Kloss, Maria Bauza, Jiajun Wu +3
Planning contact interactions is one of the core challenges of many robotic tasks. Optimizing contact locations while taking dynamics into account is computationally costly and, in…