48 citations · 207 across the 14 of their papers we have counts for
4 papers · 1 filter
Modular meta-learning in abstract graph networks for combinatorial generalization
Ferran Alet, Maria Bauza, Alberto Rodriguez +2
Modular meta-learning is a new framework that generalizes to unseen datasets by combining a small set of neural modules in different ways. In this work we propose abstract graph ne…
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing
Anurag Ajay, Jiajun Wu, Nima Fazeli +4
An efficient, generalizable physical simulator with universal uncertainty estimates has wide applications in robot state estimation, planning, and control. In this paper, we build…
A Data-Efficient Approach to Precise and Controlled Pushing
Maria Bauza, Francois R. Hogan, Alberto Rodriguez
Decades of research in control theory have shown that simple controllers, when provided with timely feedback, can control complex systems. Pushing is an example of a complex mechan…
Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations
Francois R. Hogan, Maria Bauza, Oleguer Canal +2
This paper presents a novel regrasp control policy that makes use of tactile sensing to plan local grasp adjustments. Our approach determines regrasp actions by virtually searching…