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Fast Joint Space Model-Predictive Control for Reactive Manipulation


Apr 28, 2021
Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan Ratliff, Dieter Fox, Fabio Ramos, Byron Boots

* 12 pages 

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Dual Online Stein Variational Inference for Control and Dynamics


Mar 23, 2021
Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo Borges, Byron Boots, Fabio Ramos

* Corresponding author: [email protected] 

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BORE: Bayesian Optimization by Density-Ratio Estimation


Feb 17, 2021
Louis C. Tiao, Aaron Klein, Matthias Seeger, Edwin V. Bonilla, Cedric Archambeau, Fabio Ramos

* preprint, under review 

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Stein Variational Model Predictive Control


Dec 09, 2020
Alexander Lambert, Adam Fishman, Dieter Fox, Byron Boots, Fabio Ramos

* Accepted to Conference on Robot Learning (CoRL) 2020 

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A User's Guide to Calibrating Robotics Simulators


Nov 17, 2020
Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos

* Accepted at Conference on Robot Learning 2020 

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Fast Uncertainty Quantification for Deep Object Pose Estimation


Nov 16, 2020
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu

* Video and code are available at https://sites.google.com/view/fastuq 

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Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements


Nov 12, 2020
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos


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STReSSD: Sim-To-Real from Sound for Stochastic Dynamics


Nov 05, 2020
Carolyn Matl, Yashraj Narang, Dieter Fox, Ruzena Bajcsy, Fabio Ramos

* 25 pages, 35 figures, The Conference on Robot Learning (CoRL) 2020 

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Learning to Plan Optimally with Flow-based Motion Planner


Oct 21, 2020
Tin Lai, Fabio Ramos


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Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion


Oct 12, 2020
Sebastian Haan, Fabio Ramos, Dietmar Müller

* Accepted for publication in Geophysics 

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Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning


Oct 09, 2020
Anthony Tompkins, Rafael Oliveira, Fabio Ramos

* Accepted version for NeurIPS 2020 

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Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control


Oct 08, 2020
Rel Guzman, Rafael Oliveira, Fabio Ramos

* Paper to appear at the IEEE Robotics and Automation Letters (RA-L) 

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Online Domain Adaptation for Occupancy Mapping


Jul 01, 2020
Anthony Tompkins, Ransalu Senanayake, Fabio Ramos

* Robotics: Science and Systems (RSS) 2020 conference 

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Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems


May 27, 2020
Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan Ratliff

* 2nd Annual Conference on Learning for Dynamics and Control (L4DC) 2020 

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Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning


May 26, 2020
Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox

* International Conference in Robotics and Automation 2020 

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Estimating Motion Uncertainty with Bayesian ICP


Apr 16, 2020
Fahira Afzal Maken, Fabio Ramos, Lionel Ott

* 6 pages, submitted to ICRA 2019 

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Intrinsic Exploration as Multi-Objective RL


Apr 06, 2020
Philippe Morere, Fabio Ramos


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Inferring the Material Properties of Granular Media for Robotic Tasks


Mar 19, 2020
Carolyn Matl, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Dieter Fox

* 8 pages, 6 figures, to appear in ICRA 2020; fixed misplaced image in figure 4 

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DISCO: Double Likelihood-free Inference Stochastic Control


Feb 25, 2020
Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos

* To appear in ICRA 2020 

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Reinforcement Learning with Probabilistically Complete Exploration


Jan 20, 2020
Philippe Morere, Gilad Francis, Tom Blau, Fabio Ramos


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Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training


Dec 09, 2019
Harrison Nguyen, Simon Luo, Fabio Ramos


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Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment


Dec 04, 2019
Vitor Guizilini, Ransalu Senanayake, Fabio Ramos

* International Conference on Robotics and Automation (ICRA), Montreal, 2019 

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Bayesian Curiosity for Efficient Exploration in Reinforcement Learning


Nov 20, 2019
Tom Blau, Lionel Ott, Fabio Ramos


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IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data


Nov 13, 2019
Ajay Mandlekar, Fabio Ramos, Byron Boots, Li Fei-Fei, Animesh Garg, Dieter Fox


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OCTNet: Trajectory Generation in New Environments from Past Experiences


Sep 25, 2019
Weiming Zhi, Tin Lai, Lionel Ott, Gilad Francis, Fabio Ramos


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Local Sampling-based Planning with Sequential Bayesian Updates


Sep 08, 2019
Tin Lai, Philippe Morere, Fabio Ramos, Gilad Francis


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