Maria Bauza
Maria Bauza
Graduate Student, MIT
Verified email at - Homepage
Cited by
Cited by
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching
A Zeng, S Song, KT Yu, E Donlon, FR Hogan, M Bauza, D Ma, O Taylor, ...
2018 IEEE international conference on robotics and automation (ICRA), 3750-3757, 2018
More than a million ways to be pushed. a high-fidelity experimental dataset of planar pushing
KT Yu, M Bauza, N Fazeli, A Rodriguez
2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016
Augmenting physical simulators with stochastic neural networks: Case study of planar pushing and bouncing
A Ajay, J Wu, N Fazeli, M Bauza, LP Kaelbling, JB Tenenbaum, ...
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
A probabilistic data-driven model for planar pushing
M Bauza, A Rodriguez
2017 IEEE International Conference on Robotics and Automation (ICRA), 3008-3015, 2017
Tactile Regrasp: Grasp Adjustments via Simulated Tactile Transformations
FR Hogan*, M Bauza*, O Canal, E Donlon, A Rodriguez
IROS 2018, 2018
Tactile mapping and localization from high-resolution tactile imprints
M Bauza, O Canal, A Rodriguez
2019 International Conference on Robotics and Automation (ICRA), 3811-3817, 2019
Graph element networks: adaptive, structured computation and memory
F Alet, AK Jeewajee, MB Villalonga, A Rodriguez, T Lozano-Perez, ...
International Conference on Machine Learning, 212-222, 2019
Combining physical simulators and object-based networks for control
A Ajay, M Bauza, J Wu, N Fazeli, JB Tenenbaum, A Rodriguez, ...
2019 International Conference on Robotics and Automation (ICRA), 3217-3223, 2019
A Data-Efficient Approach to Precise and Controlled Pushing
M Bauza, FR Hogan, A Rodriguez
arXiv preprint arXiv:1807.09904, 2018
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with rgb-d video
M Bauza, F Alet, YC Lin, T Lozano-Pérez, LP Kaelbling, P Isola, ...
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
Tactile object pose estimation from the first touch with geometric contact rendering
M Bauza, E Valls, B Lim, T Sechopoulos, A Rodriguez
arXiv preprint arXiv:2012.05205, 2020
Experience-embedded visual foresight
L Yen-Chen, M Bauza, P Isola
Conference on Robot Learning, 1015-1024, 2020
Tactile slam: Real-time inference of shape and pose from planar pushing
S Suresh, M Bauza, KT Yu, JG Mangelson, A Rodriguez, M Kaess
2021 IEEE International Conference on Robotics and Automation (ICRA), 11322 …, 2021
Accurate vision-based manipulation through contact reasoning
A Kloss, M Bauza, J Wu, JB Tenenbaum, A Rodriguez, J Bohg
2020 IEEE International Conference on Robotics and Automation (ICRA), 6738-6744, 2020
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
F Alet, M Bauza, K Kawaguchi, NG Kuru, T Lozano-Pérez, L Kaelbling
Advances in Neural Information Processing Systems 34, 29206-29217, 2021
GP-SUM. Gaussian Process Filtering of non-Gaussian Beliefs
M Bauza, A Rodriguez
International Workshop on the Algorithmic Foundations of Robotics, 508-525, 2018
Modular meta-learning in abstract graph networks for combinatorial generalization
F Alet, M Bauza, A Rodriguez, T Lozano-Perez, LP Kaelbling
arXiv preprint arXiv:1812.07768, 2018
Tac2Pose: Tactile Object Pose Estimation from the First Touch
M Bauza, A Bronars, A Rodriguez
arXiv preprint arXiv:2204.11701, 2022
Accurate Vision-based Manipulation through Contact Reasoning
M Bauza, J Wu, JB Tenenbaum, A Rodriguez
Institute of Electrical and Electronics Engineers (IEEE), 2020
Drawing robot
F Alet, M Bauza
Universitat Politècnica de Catalunya, 2014
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