| 2025 | ICLR | HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation. | Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal |
| 2025 | ICRA | Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy. | Christian Hughes, Houston Warren, Darrick Lee, Fabio Ramos, Ian Abraham |
| 2025 | ICRA | Diverse Motion Planning with Stein Diffusion Trajectory Inference. | Zeya Yin, Tin Lai, Lucas Barcelos, Jayadeep Jacob, Yonghui Li, Fabio Ramos |
| 2024 | AISTATS | Fast Fourier Bayesian Quadrature. | Houston Warren, Fabio Ramos |
| 2024 | CoRL | Gentle Manipulation of Tree Branches: A Contact-Aware Policy Learning Approach. | Jayadeep Jacob, Shizhe Cai, Paulo Vinicius Koerich Borges, Tirthankar Bandyopadhyay, Fabio Ramos |
| 2024 | IROS | Neural Kinodynamic Planning: Learning for KinoDynamic Tree Expansion. | Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos |
| 2024 | IROS | Stein Movement Primitives for Adaptive Multi-Modal Trajectory Generation. | Zeya Yin, Tin Lai, Subhan Khan, Jayadeep Jacob, Yonghui Li, Fabio Ramos |
| 2023 | CoRL | Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference. | Jana Pavlasek, Stanley Robert Lewis, Balakumar Sundaralingam, Fabio Ramos, Tucker Hermans |
| 2023 | ICRA | DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets. | Isabella Huang, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Tucker Hermans, Dieter Fox |
| 2023 | ICRA | CuRobo: Parallelized Collision-Free Robot Motion Generation. | Balakumar Sundaralingam, Siva Kumar Sastry Hari, Adam Fishman, Caelan Reed Garrett, Karl Van Wyk, Valts Blukis, Alexander Millane, Helen Oleynikova, Ankur Handa, Fabio Ramos, Nathan D. Ratliff, Dieter Fox |
| 2023 | ICRA | Global and Reactive Motion Generation with Geometric Fabric Command Sequences. | Weiming Zhi, Iretiayo Akinola, Karl Van Wyk, Nathan D. Ratliff, Fabio Ramos |
| 2022 | CoRL | Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming. | Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos |
| 2022 | ICLR | Accelerated Policy Learning with Parallel Differentiable Simulation. | Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin |
| 2022 | ICML | Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. | Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos |
| 2022 | ICRA | Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. | Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos |
| 2022 | ICRA | Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. | Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme |
| 2022 | IROS | LTR*: Rapid Replanning in Executing Consecutive Tasks with Lazy Experience Graph. | Tin Lai, Fabio Ramos |
| 2022 | IROS | Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. | Julia Tan, Ransalu Senanayake, Fabio Ramos |
| 2021 | CoRL | STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation. | Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots |
| 2021 | CoRL | Parallelised Diffeomorphic Sampling-based Motion Planning. | Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos |
| 2021 | ICML | BORE: Bayesian Optimization by Density-Ratio Estimation. | Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cdric Archambeau, Fabio Ramos |
| 2021 | IROS | PlannerFlows: Learning Motion Samplers with Normalising Flows. | Tin Lai, Fabio Ramos |
| 2021 | IROS | Trajectory Generation in New Environments from Past Experiences. | Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos |
| 2021 | IROS | Probabilistic Trajectory Prediction with Structural Constraints. | Weiming Zhi, Lionel Ott, Fabio Ramos |
| 2021 | ICRA | Fast Uncertainty Quantification for Deep Object Pose Estimation. | Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu |
| 2021 | ICRA | Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. | Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos |
| 2021 | UAI | No-regret approximate inference via Bayesian optimisation. | Rafael Oliveira, Lionel Ott, Fabio Ramos |
| 2020 | CoRL | Stein Variational Model Predictive Control. | Alexander Lambert, Fabio Ramos, Byron Boots, Dieter Fox, Adam Fishman |
| 2020 | CoRL | STReSSD: Sim-To-Real from Sound for Stochastic Dynamics. | Carolyn Matl, Yashraj Narang, Dieter Fox, Ruzena Bajcsy, Fabio Ramos |
| 2020 | CoRL | A User's Guide to Calibrating Robotic Simulators. | Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos |
| 2020 | ICRA | DISCO: Double Likelihood-free Inference Stochastic Control. | Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos |
| 2020 | ICRA | Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. | Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox |
| 2020 | ICRA | Estimating Motion Uncertainty with Bayesian ICP. | Fahira Afzal Maken, Fabio Ramos, Lionel Ott |
| 2020 | ICRA | IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. | Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox |
| 2020 | ICRA | Inferring the Material Properties of Granular Media for Robotic Tasks. | Carolyn Matl, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Dieter Fox |
| 2020 | IROS | Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement. | Rafael Possas, Lucas Barcelos, Rafael Oliveira, Dieter Fox, Fabio Ramos |
| 2020 | PAKDD | Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training. | Harrison Nguyen, Simon Luo, Fabio Ramos |
| 2020 | UAI | Active Learning of Conditional Mean Embeddings via Bayesian Optimisation. | Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos |
| 2019 | AISTATS | Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. | Kelvin Hsu, Fabio Ramos |
| 2019 | AISTATS | Bayesian optimisation under uncertain inputs. | Rafael Oliveira, Lionel Ott, Fabio Ramos |
| 2019 | AISTATS | Black Box Quantiles for Kernel Learning. | Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos |
| 2019 | CoRL | Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. | Weiming Zhi, Lionel Ott, Fabio Ramos |
| 2019 | ICML | Bayesian Deconditional Kernel Mean Embeddings. | Kelvin Hsu, Fabio Ramos |
| 2019 | ICRA | Fast Stochastic Functional Path Planning in Occupancy Maps. | Gilad Francis, Lionel Ott, Fabio Ramos |
| 2019 | ICRA | Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments. | Vitor Guizilini, Ransalu Senanayake, Fabio Ramos |
| 2019 | ICRA | Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees. | Tin Lai, Fabio Ramos, Gilad Francis |
| 2019 | ICRA | Speeding Up Iterative Closest Point Using Stochastic Gradient Descent. | Fahira Afzal Maken, Fabio Ramos, Lionel Ott |
| 2019 | ICRA | Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. | Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos |
| 2019 | UAI | Periodic Kernel Approximation by Index Set Fourier Series Features. | Anthony Tompkins, Fabio Ramos |
| 2018 | AAAI | Iterative Continuous Convolution for 3D Template Matching and Global Localization. | Vitor Guizilini, Fabio Ramos |
| 2018 | AAAI | Building Continuous Occupancy Maps With Moving Robots. | Ransalu Senanayake, Fabio Ramos |
| 2018 | AAAI | Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling. | Anthony Tompkins, Fabio Ramos |
| 2018 | CoRL | Fast 3D Modeling with Approximated Convolutional Kernels. | Vitor Guizilini, Fabio Ramos |
| 2018 | CoRL | Unpaired Learning of Dense Visual Depth Estimators for Urban Environments. | Vitor Guizilini, Fabio Ramos |
| 2018 | CoRL | Bayesian RL for Goal-Only Rewards. | Philippe Morere, Fabio Ramos |
| 2018 | CoRL | Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. | Ransalu Senanayake, Anthony Tompkins, Fabio Ramos |
| 2018 | CVPR | Egocentric Activity Recognition on a Budget. | Rafael Possas, Sheila M. Pinto-Caceres, Fabio Ramos |
| 2018 | ICRA | Learning to Race Through Coordinate Descent Bayesian Optimisation. | Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr. |
| 2018 | IROS | Improving Reinforcement Learning Pre-Training with Variational Dropout. | Tom Blau, Lionel Ott, Fabio Ramos |
| 2018 | IROS | Continuous State-Action-Observation POMDPs for Trajectory Planning with Bayesian Optimisation. | Philippe Morere, Romn Marchant, Fabio Ramos |
| 2018 | IROS | Directional Grid Maps: Modeling Multimodal Angular Uncertainty in Dynamic Environments. | Ransalu Senanayake, Fabio Ramos |
| 2017 | CoRL | Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping. | Ransalu Senanayake, Fabio Ramos |
| 2017 | ICMLA | Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network. | Edmar R. S. De Rezende, Guilherme C. S. Ruppert, Tiago J. Carvalho, Fabio Ramos, Paulo L. de Geus |
| 2017 | ICRA | Online learning for scene segmentation with laser-constrained CRFs. | Charika De Alvis, Lionel Ott, Fabio Ramos |
| 2017 | ICRA | Stochastic functional gradient for motion planning in continuous occupancy maps. | Gilad Francis, Lionel Ott, Fabio Ramos |
| 2017 | IROS | Markovian jump linear systems-based filtering for visual and GPS aided inertial navigation system. | Roberto S. Inoue, Vitor Guizilini, Marco H. Terra, Fabio Ramos |
| 2017 | ISRR | Functional Path Optimisation for Exploration in Continuous Occupancy Maps. | Gilad Francis, Lionel Ott, Fabio Ramos |
| 2017 | ISRR | Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. | Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos |
| 2016 | AAAI | Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression. | Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Ramos |
| 2016 | ECAI | Online Adaptation of Deep Architectures with Reinforcement Learning. | Thushan Ganegedara, Lionel Ott, Fabio Ramos |
| 2016 | ICRA | Alextrac: Affinity learning by exploring temporal reinforcement within association chains. | Alex Bewley, Lionel Ott, Fabio Ramos, Ben Upcroft |
| 2016 | IROS | Large-scale 3D scene reconstruction with Hilbert Maps. | Vitor Guizilini, Fabio Ramos |
| 2016 | ICRA | From grids to continuous occupancy maps through area kernels. | Carlos E. O. Vido, Fabio Ramos |
| 2015 | AAAI | Variational Inference for Nonparametric Bayesian Quantile Regression. | Sachinthaka Abeywardana, Fabio Ramos |
| 2015 | FUSION | Non-parametric consistency test for multiple-sensing-modality data fusion. | Marcos Paul Gerardo-Castro, Thierry Peynot, Fabio Ramos, Robert Fitch |
| 2014 | ECAI | Transductive Learning for Multi-Task Copula Processes. | Markus Schneider, Fabio Ramos |
| 2014 | ICARCV | Dense motion segmentation for first-person activity recognition. | Kai Zhan, Vitor Guizilini, Fabio Ramos |
| 2014 | ICRA | Bayesian optimisation for active perception and smooth navigation. | Jefferson R. Souza, Romn Marchant, Lionel Ott, Denis Fernando Wolf, Fabio Ramos |
| 2014 | PERCOM | Multi-scale Conditional Random Fields for first-person activity recognition. | Kai Zhan, Steven Faux, Fabio Ramos |
| 2014 | UAI | Sequential Bayesian Optimisation for Spatial-Temporal Monitoring. | Romn Marchant, Fabio Ramos, Scott Sanner |
| 2013 | IJCAI | Bayesian Joint Inversions for the Exploration of Earth Resources. | Alistair Reid, Simon Timothy O'Callaghan, Edwin V. Bonilla, Lachlan McCalman, Tim Rawling, Fabio Ramos |
| 2013 | ICRA | Online self-supervised segmentation of dynamic objects. | Vitor Guizilini, Fabio Ramos |
| 2013 | ICRA | Multi-modal estimation with kernel embeddings for learning motion models. | Lachlan McCalman, Simon Timothy O'Callaghan, Fabio Ramos |
| 2013 | IROS | Multi-sensor clustering using Layered Affinity Propagation. | Lionel Ott, Fabio Ramos |
| 2012 | AAAI | Learning Non-Stationary Space-Time Models for Environmental Monitoring. | Sahil Garg, Amarjeet Singh, Fabio Ramos |
| 2012 | HRI | Unsupervised clustering of people from 'skeleton' data. | Adrian Ball, David C. Rye, Fabio Ramos, Mari Velonaki |
| 2012 | ICARCV | Activity recognition from a wearable camera. | Kai Zhan, Fabio Ramos, Steven Faux |
| 2012 | ICRA | Semi-parametric models for visual odometry. | Vitor Guizilini, Fabio Ramos |
| 2012 | ICRA | Unsupervised incremental learning for long-term autonomy. | Lionel Ott, Fabio Ramos |
| 2012 | IROS | Bayesian optimisation for Intelligent Environmental Monitoring. | Romn Marchant, Fabio Ramos |
| 2012 | ICRA | Automatic rock recognition from drilling performance data. | Hang Zhou, Peter Hatherly, Sildomar T. Monteiro, Fabio Ramos, Florian Oppolzer, Eric Nettleton, Steve Scheding |
| 2011 | HRI | A comparison of unsupervised learning algorithms for gesture clustering. | Adrian Ball, David C. Rye, Fabio Ramos, Mari Velonaki |
| 2011 | IJCAI | Multi-Kernel Gaussian Processes. | Arman Melkumyan, Fabio Ramos |
| 2011 | IJCAI | Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining. | Sildomar T. Monteiro, Joop van de Ven, Fabio Ramos, Peter Hatherly |
| 2011 | ICRA | Visual odometry learning for unmanned aerial vehicles. | Vitor Guizilini, Fabio Ramos |
| 2011 | ICRA | Multi-class classification of vegetation in natural environments using an Unmanned Aerial system. | Alistair Reid, Fabio Ramos, Salah Sukkarieh |
| 2011 | ICRA | Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling. | Shrihari Vasudevan, Fabio Ramos, Eric Nettleton, Hugh F. Durrant-Whyte |
| 2011 | ICRA | An adaptive data driven model for characterizing rock properties from Drilling data. | Hang Zhou, Peter Hatherly, Fabio Ramos, Eric Nettleton |
| 2011 | ICRA | Multi-task learning of system dynamics with maximum information gain. | Jose F. Zubizarreta-Rodriguez, Fabio Ramos |
| 2011 | UAI | Distributed Anytime MAP Inference. | Joop van de Ven, Fabio Ramos |
| 2010 | ICRA | Modeling and decision making in spatio-temporal processes for environmental surveillance. | Amarjeet Singh, Fabio Ramos, Hugh F. Durrant-Whyte, William J. Kaiser |
| 2010 | ICRA | An integrated probabilistic model for scan-matching, moving object detection and motion estimation. | Joop van de Ven, Fabio Ramos, Gian Diego Tipaldi |
| 2009 | IJCAI | A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets. | Arman Melkumyan, Fabio Ramos |
| 2009 | IROS | Motion clustering and estimation with conditional random fields. | Gian Diego Tipaldi, Fabio Ramos |
| 2007 | ISRR | A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition. | Bertrand Douillard, Dieter Fox, Fabio Ramos |
| 2006 | FUSION | Probabilistic Classification of Hyperspectral Images by Learning Nonlinear Dimensionality Reduction Mapping. | X. Rosalind Wang, Suresh Kumar, Fabio Ramos, Tobias Kaupp, Ben Upcroft, Hugh F. Durrant-Whyte |
| 2005 | IROS | A statistical framework for natural feature representation. | Suresh Kumar, Fabio Ramos, Ben Upcroft, Hugh F. Durrant-Whyte |