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Batch Bayesian optimisation via density-ratio estimation with guarantees


Sep 22, 2022
Rafael Oliveira, Louis Tiao, Fabio Ramos

* Paper accepted at NeurIPS 2022 

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Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills


Jul 03, 2022
Julia Tan, Ransalu Senanayake, Fabio Ramos


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Accelerated Policy Learning with Parallel Differentiable Simulation


Apr 14, 2022
Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin

* International Conference on Learning Representations 

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Adaptive Model Predictive Control by Learning Classifiers


Apr 05, 2022
Rel Guzman, Rafael Oliveira, Fabio Ramos

* To appear in the 4th Annual Learning for Dynamics & Control Conference (L4DC) 2022 

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DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting


Mar 19, 2022
Eric Heiden, Miles Macklin, Yashraj Narang, Dieter Fox, Animesh Garg, Fabio Ramos

* Extended version of our RSS 2021 paper arXiv:2105.12244 

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Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty


Mar 02, 2022
Rel Guzman, Rafael Oliveira, Fabio Ramos

* Paper accepted in the 2022 IEEE International Conference on Robotics and Automation (ICRA), Philadelphia (PA), USA 

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L4KDE: Learning for KinoDynamic Tree Expansion


Mar 02, 2022
Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos


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Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation


Feb 09, 2022
Fahira Afzal Maken, Fabio Ramos, Lionel Ott

* Robotics and Automation Letters, 2022 
* 8 pages, 3 figures, Robotics and Automation Letters 

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A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation


Dec 09, 2021
Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg


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