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Tatiana López-Guevara
Tatiana López-Guevara
Research Scientist, DeepMind
Bestätigte E-Mail-Adresse bei deepmind.com - Startseite
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Zitiert von
Zitiert von
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Adaptable pouring: Teaching robots not to spill using fast but approximate fluid simulation
TL Guevara, NK Taylor, M Gutmann, S Ramamoorthy, K Subr
1st Conference on Robot Learning 2017, 77-86, 2017
292017
Physical design using differentiable learned simulators
KR Allen, T Lopez-Guevara, K Stachenfeld, A Sanchez-Gonzalez, ...
arXiv preprint arXiv:2202.00728, 2022
192022
Stir to pour: Efficient calibration of liquid properties for pouring actions
T Lopez-Guevara, R Pucci, NK Taylor, MU Gutmann, S Ramamoorthy, ...
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
62020
Graph network simulators can learn discontinuous, rigid contact dynamics
KR Allen, TL Guevara, Y Rubanova, K Stachenfeld, A Sanchez-Gonzalez, ...
Conference on Robot Learning, 1157-1167, 2023
42023
Learning rigid dynamics with face interaction graph networks
KR Allen, Y Rubanova, T Lopez-Guevara, W Whitney, ...
arXiv preprint arXiv:2212.03574, 2022
12022
To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions
T Lopez-Guevara, R Pucci, N Taylor, MU Gutmann, S Ramamoorthy, ...
arXiv preprint arXiv:1904.02431, 2019
1*2019
NTCIP traffic simulation platform-Pereira case
R Gómez-Londoño, J Jaramillo-Villegas, T López-Guevara
2012 IEEE Colombian Intelligent Transportation Systems Symposium (CITSS), 1-5, 2012
12012
Inverse Design for Fluid-Structure Interactions using Graph Network Simulators
K Allen, T Lopez-Guevara, KL Stachenfeld, A Sanchez Gonzalez, ...
Advances in Neural Information Processing Systems 35, 13759-13774, 2022
2022
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates
T Lopez-Guevara, M Burke, NK Taylor, K Subr
arXiv preprint arXiv:2012.01925, 2020
2020
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