Maria Bauzá

Orcid: 0000-0002-8251-8019

Affiliations:
  • Massachusetts Institute of Technology, Cambridge, USA


According to our database1, Maria Bauzá authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
CoRR, 2024

2023
Tac2Pose: Tactile object pose estimation from the first touch.
Int. J. Robotics Res., November, 2023

simPLE: a visuotactile method learned in simulation to precisely pick, localize, regrasp, and place objects.
CoRR, 2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.
CoRR, 2023

FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching.
Int. J. Robotics Res., 2022

2021
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Tactile SLAM: Real-time inference of shape and pose from planar pushing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Accurate Vision-based Manipulation through Contact Reasoning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Tactile Mapping and Localization from High-Resolution Tactile Imprints.
Proceedings of the International Conference on Robotics and Automation, 2019

Combining Physical Simulators and Object-Based Networks for Control.
Proceedings of the International Conference on Robotics and Automation, 2019

Graph Element Networks: adaptive, structured computation and memory.
Proceedings of the 36th International Conference on Machine Learning, 2019

Experience-Embedded Visual Foresight.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Modular meta-learning in abstract graph networks for combinatorial generalization.
CoRR, 2018

GP-SUM. Gaussian Process Filtering of non-Gaussian Beliefs.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

A Data-Efficient Approach to Precise and Controlled Pushing.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
GP-SUM. Gaussian Processes Filtering of non-Gaussian Beliefs.
CoRR, 2017

A probabilistic data-driven model for planar pushing.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
More than a Million Ways to Be Pushed: A High-Fidelity Experimental Data Set of Planar Pushing.
CoRR, 2016

More than a million ways to be pushed. A high-fidelity experimental dataset of planar pushing.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016


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