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ORCIDFabio Ramos 0001
Fabio T. Ramos 0001 – Fabio Tozeto Ramos
Person information
- affiliation: University of Sydney, School of Computer Science, Australia
- affiliation: NVIDIA, Seattle, WA, USA
Other persons with the same name
- Fabio Ramos 0002 — Federal University of Rio de Janeiro, Institute of Mathematics, Brazil
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2020 – today
- 2024
[j39]Jayadeep Jacob
, Tirthankar Bandyopadhyay, Jason Williams, Paulo V. K. Borges, Fabio Ramos:
Learning to Simulate Tree-Branch Dynamics for Manipulation. IEEE Robotics Autom. Lett. 9(2): 1748-1755 (2024)- [j38]Jana Pavlasek, Joshua Jing Zhi Mah, Ruihan Xu, Odest Chadwicke Jenkins, Fabio Ramos:
Stein Variational Belief Propagation for Multi-Robot Coordination. IEEE Robotics Autom. Lett. 9(5): 4194-4201 (2024) - [c170]Houston Warren, Fabio Ramos:
Fast Fourier Bayesian Quadrature. AISTATS 2024: 4555-4563 - [c169]Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos:
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following. L4DC 2024: 466-479 - [i89]Lidia Gianne Souza da Rocha, Kenny Anderson Queiroz Caldas, Marco Henrique Terra, Fabio Ramos, Kelen Cristiane Teixeira Vivaldini:
Dynamic Q-planning for Online UAV Path Planning in Unknown and Complex Environments. CoRR abs/2402.06297 (2024) - [i88]Houston Warren, Rafael Oliveira, Fabio Ramos:
Stein Random Feature Regression. CoRR abs/2406.00438 (2024) - [i87]Darrick Lee, Cameron Lerch, Fabio Ramos, Ian Abraham:
Stein Variational Ergodic Search. CoRR abs/2406.11767 (2024) - [i86]Bingjie Tang, Iretiayo Akinola, Jie Xu, Bowen Wen, Ankur Handa, Karl Van Wyk, Dieter Fox, Gaurav S. Sukhatme, Fabio Ramos, Yashraj S. Narang:
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries. CoRR abs/2407.08028 (2024) - [i85]Michael Noseworthy, Bingjie Tang, Bowen Wen, Ankur Handa, Nicholas Roy, Dieter Fox, Fabio Ramos, Yashraj S. Narang, Iretiayo Akinola:
FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty. CoRR abs/2408.04587 (2024) - [i84]Christian Hughes, Houston Warren, Darrick Lee, Fabio Ramos, Ian Abraham:
Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy. CoRR abs/2410.10599 (2024) - 2023
- [j37]Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos:
DiSECt: a differentiable simulator for parameter inference and control in robotic cutting. Auton. Robots 47(5): 549-578 (2023) - [c168]Jana Pavlasek, Stanley Robert Lewis, Balakumar Sundaralingam, Fabio Ramos, Tucker Hermans:
Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference. CoRL 2023: 3672-3686 - [c167]Weiming Zhi, Iretiayo Akinola, Karl Van Wyk, Nathan D. Ratliff, Fabio Ramos:
Global and Reactive Motion Generation with Geometric Fabric Command Sequences. ICRA 2023: 939-945 - [c166]Isabella Huang, Yashraj S. Narang, Ruzena Bajcsy, Fabio Ramos, Tucker Hermans, Dieter Fox:
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets. ICRA 2023: 5894-5901 - [c165]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:
CuRobo: Parallelized Collision-Free Robot Motion Generation. ICRA 2023: 8112-8119 - [c164]Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj S. Narang:
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality. Robotics: Science and Systems 2023 - [i83]Isabella Huang, Yashraj S. Narang, Ruzena Bajcsy, Fabio Ramos, Tucker Hermans, Dieter Fox:
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets. CoRR abs/2303.16138 (2023) - [i82]Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj S. Narang:
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality. CoRR abs/2305.17110 (2023) - [i81]Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo V. K. Borges, Fabio Ramos:
Learning to Simulate Tree-Branch Dynamics for Manipulation. CoRR abs/2306.03410 (2023) - [i80]Lucas Barcelos, Tin Lai, Rafael Oliveira, Paulo V. K. Borges, Fabio Ramos:
Path Signatures for Diversity in Probabilistic Trajectory Optimisation. CoRR abs/2308.04071 (2023) - [i79]Yewon Lee, Philip Huang, Krishna Murthy Jatavallabhula, Andrew Zou Li, Fabian Damken, Eric Heiden, Kevin Smith, Derek Nowrouzezahrai, Fabio Ramos, Florian Shkurti:
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent. CoRR abs/2310.01775 (2023) - [i78]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:
CuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation. CoRR abs/2310.17274 (2023) - [i77]Jana Pavlasek, Joshua Jing Zhi Mah, Ruihan Xu, Odest Chadwicke Jenkins, Fabio Ramos:
Stein Variational Belief Propagation for Multi-Robot Coordination. CoRR abs/2311.16916 (2023) - [i76]Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos:
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following. CoRR abs/2312.05547 (2023) - 2022
- [j36]Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters:
Robot Learning From Randomized Simulations: A Review. Frontiers Robotics AI 9: 799893 (2022) - [j35]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Bayesian iterative closest point for mobile robot localization. Int. J. Robotics Res. 41(9-10): 851-874 (2022) - [j34]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Stein ICP for Uncertainty Estimation in Point Cloud Matching. IEEE Robotics Autom. Lett. 7(2): 1063-1070 (2022) - [j33]Tin Lai, Fabio Ramos:
Adaptively Exploits Local Structure With Generalised Multi-Trees Motion Planning. IEEE Robotics Autom. Lett. 7(2): 1111-1117 (2022) - [j32]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation. IEEE Robotics Autom. Lett. 7(2): 5421-5428 (2022) - [j31]Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg:
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation. IEEE Robotics Autom. Lett. 7(3): 5819-5826 (2022) - [c163]Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos:
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming. CoRL 2022: 1563-1574 - [c162]Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin:
Accelerated Policy Learning with Parallel Differentiable Simulation. ICLR 2022 - [c161]Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos:
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. ICML 2022: 27060-27074 - [c160]Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme:
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. ICRA 2022: 3638-3645 - [c159]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. ICRA 2022: 5539-5545 - [c158]Julia Tan, Ransalu Senanayake, Fabio Ramos:
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. IROS 2022: 7052-7059 - [c157]Tin Lai, Fabio Ramos:
LTR*: Rapid Replanning in Executing Consecutive Tasks with Lazy Experience Graph. IROS 2022: 8784-8790 - [c156]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Adaptive Model Predictive Control by Learning Classifiers. L4DC 2022: 480-491 - [c155]Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos:
Diffeomorphic Transforms for Generalised Imitation Learning. L4DC 2022: 508-519 - [c154]Rafael Oliveira, Louis C. Tiao, Fabio T. Ramos:
Batch Bayesian optimisation via density-ratio estimation with guarantees. NeurIPS 2022 - [c153]Houston Warren, Rafael Oliveira, Fabio T. Ramos:
Generalized Bayesian quadrature with spectral kernels. UAI 2022: 2085-2095 - [i75]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation. CoRR abs/2202.04213 (2022) - [i74]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. CoRR abs/2203.00551 (2022) - [i73]Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos:
L4KDE: Learning for KinoDynamic Tree Expansion. CoRR abs/2203.00975 (2022) - [i72]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Adaptive Model Predictive Control by Learning Classifiers. CoRR abs/2203.06783 (2022) - [i71]Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos:
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting. CoRR abs/2203.10263 (2022) - [i70]Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio T. Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin:
Accelerated Policy Learning with Parallel Differentiable Simulation. CoRR abs/2204.07137 (2022) - [i69]Julia Tan, Ransalu Senanayake, Fabio Ramos:
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. CoRR abs/2207.00978 (2022) - [i68]Rafael Oliveira, Louis C. Tiao, Fabio Ramos:
Batch Bayesian optimisation via density-ratio estimation with guarantees. CoRR abs/2209.10715 (2022) - 2021
- [j30]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. IEEE Robotics Autom. Lett. 6(1): 56-63 (2021) - [c152]Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos:
Parallelised Diffeomorphic Sampling-based Motion Planning. CoRL 2021: 81-90 - [c151]Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots:
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation. CoRL 2021: 750-759 - [c150]Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos:
BORE: Bayesian Optimization by Density-Ratio Estimation. ICML 2021: 10289-10300 - [c149]Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu:
Fast Uncertainty Quantification for Deep Object Pose Estimation. ICRA 2021: 5200-5207 - [c148]Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos:
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. ICRA 2021: 8459-8464 - [c147]Tin Lai, Fabio Ramos:
PlannerFlows: Learning Motion Samplers with Normalising Flows. IROS 2021: 2542-2548 - [c146]Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos:
Trajectory Generation in New Environments from Past Experiences. IROS 2021: 7911-7918 - [c145]Weiming Zhi, Lionel Ott, Fabio Ramos:
Probabilistic Trajectory Prediction with Structural Constraints. IROS 2021: 9849-9856 - [c144]Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos:
Dual Online Stein Variational Inference for Control and Dynamics. Robotics: Science and Systems 2021 - [c143]Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos:
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting. Robotics: Science and Systems 2021 - [c142]Rafael Oliveira, Lionel Ott, Fabio Ramos:
No-regret approximate inference via Bayesian optimisation. UAI 2021: 2082-2092 - [i67]Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos:
BORE: Bayesian Optimization by Density-Ratio Estimation. CoRR abs/2102.09009 (2021) - [i66]Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos:
Dual Online Stein Variational Inference for Control and Dynamics. CoRR abs/2103.12890 (2021) - [i65]Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots:
Fast Joint Space Model-Predictive Control for Reactive Manipulation. CoRR abs/2104.13542 (2021) - [i64]Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos:
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting. CoRR abs/2105.12244 (2021) - [i63]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Stein ICP for Uncertainty Estimation in Point Cloud Matching. CoRR abs/2106.03287 (2021) - [i62]Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos:
Learning ODEs via Diffeomorphisms for Fast and Robust Integration. CoRR abs/2107.01650 (2021) - [i61]Weiming Zhi, Lionel Ott, Fabio Ramos:
Probabilistic Trajectory Prediction with Structural Constraints. CoRR abs/2107.04193 (2021) - [i60]Rika Antonova, Fabio Ramos, Rafael Possas, Dieter Fox:
BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym. CoRR abs/2107.04527 (2021) - [i59]Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos:
Parallelised Diffeomorphic Sampling-based Motion Planning. CoRR abs/2108.11775 (2021) - [i58]Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme:
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. CoRR abs/2109.08815 (2021) - [i57]Tin Lai, Fabio Ramos:
Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph. CoRR abs/2109.10209 (2021) - [i56]Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters:
Robot Learning from Randomized Simulations: A Review. CoRR abs/2111.00956 (2021) - [i55]Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg:
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation. CoRR abs/2112.05068 (2021) - 2020
- [j29]Tin Lai, Philippe Morere, Fabio Ramos, Gilad Francis:
Bayesian Local Sampling-Based Planning. IEEE Robotics Autom. Lett. 5(2): 1954-1961 (2020) - [c141]Carolyn Matl, Yashraj S. Narang, Dieter Fox, Ruzena Bajcsy, Fabio Ramos:
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics. CoRL 2020: 935-958 - [c140]Alexander Lambert, Fabio Ramos, Byron Boots, Dieter Fox, Adam Fishman:
Stein Variational Model Predictive Control. CoRL 2020: 1278-1297 - [c139]Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos:
A User's Guide to Calibrating Robotic Simulators. CoRL 2020: 1326-1340 - [c138]Carolyn Matl, Yashraj S. Narang, Ruzena Bajcsy, Fabio Ramos, Dieter Fox:
Inferring the Material Properties of Granular Media for Robotic Tasks. ICRA 2020: 2770-2777 - [c137]Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. ICRA 2020: 4414-4420 - [c136]Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox:
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. ICRA 2020: 7505-7512 - [c135]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Estimating Motion Uncertainty with Bayesian ICP. ICRA 2020: 8602-8608 - [c134]Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos:
DISCO: Double Likelihood-free Inference Stochastic Control. ICRA 2020: 10969-10975 - [c133]Rafael Possas, Lucas Barcelos, Rafael Oliveira, Dieter Fox, Fabio Ramos:
Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement. IROS 2020: 5445-5452 - [c132]Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff:
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. L4DC 2020: 630-639 - [c131]Anthony Tompkins, Rafael Oliveira, Fabio T. Ramos:
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. NeurIPS 2020 - [c130]Harrison Nguyen, Simon Luo, Fabio Ramos:
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training. PAKDD (2) 2020: 409-421 - [c129]Anthony Tompkins, Ransalu Senanayake, Fabio Ramos:
Online Domain Adaptation for Occupancy Mapping. Robotics: Science and Systems 2020 - [c128]Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos:
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation. UAI 2020: 1119-1128 - [e2]Jens Kober, Fabio Ramos, Claire J. Tomlin:
4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, MA, USA. Proceedings of Machine Learning Research 155, PMLR 2020 [contents] - [i54]Philippe Morere, Gilad Francis, Tom Blau, Fabio Ramos:
Reinforcement Learning with Probabilistically Complete Exploration. CoRR abs/2001.06940 (2020) - [i53]Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos:
DISCO: Double Likelihood-free Inference Stochastic Control. CoRR abs/2002.07379 (2020) - [i52]Carolyn Matl, Yashraj S. Narang, Ruzena Bajcsy, Fabio Ramos, Dieter Fox:
Inferring the Material Properties of Granular Media for Robotic Tasks. CoRR abs/2003.08032 (2020) - [i51]Philippe Morere, Fabio Ramos:
Intrinsic Exploration as Multi-Objective RL. CoRR abs/2004.02380 (2020) - [i50]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Estimating Motion Uncertainty with Bayesian ICP. CoRR abs/2004.07973 (2020) - [i49]Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox:
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. CoRR abs/2005.10872 (2020) - [i48]Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff:
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. CoRR abs/2005.13143 (2020) - [i47]Anthony Tompkins, Ransalu Senanayake, Fabio Ramos:
Online Domain Adaptation for Occupancy Mapping. CoRR abs/2007.00164 (2020) - [i46]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. CoRR abs/2010.00202 (2020) - [i45]Anthony Tompkins, Rafael Oliveira, Fabio Ramos:
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. CoRR abs/2010.04315 (2020) - [i44]Sebastian Haan, Fabio Ramos, R. Dietmar Müller:
Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion. CoRR abs/2010.05386 (2020) - [i43]Tin Lai, Fabio Ramos:
Learning to Plan Optimally with Flow-based Motion Planner. CoRR abs/2010.11323 (2020) - [i42]Carolyn Matl, Yashraj S. Narang, Dieter Fox, Ruzena Bajcsy, Fabio Ramos:
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics. CoRR abs/2011.03136 (2020) - [i41]Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos:
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. CoRR abs/2011.06235 (2020) - [i40]Alexander Lambert, Adam Fishman, Dieter Fox, Byron Boots, Fabio Ramos:
Stein Variational Model Predictive Control. CoRR abs/2011.07641 (2020) - [i39]Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu:
Fast Uncertainty Quantification for Deep Object Pose Estimation. CoRR abs/2011.07748 (2020) - [i38]Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos:
A User's Guide to Calibrating Robotics Simulators. CoRR abs/2011.08985 (2020)
2010 – 2019
- 2019
- [j28]Kelen Cristiane Teixeira Vivaldini, Thiago H. Martinelli, Vitor Campanholo Guizilini, Jefferson R. Souza, Matheus Della Croce Oliveira, Fabio T. Ramos, Denis F. Wolf:
UAV route planning for active disease classification. Auton. Robots 43(5): 1137-1153 (2019) - [j27]Gilad Francis, Lionel Ott, Román Marchant, Fabio Ramos:
Occupancy map building through Bayesian exploration. Int. J. Robotics Res. 38(7) (2019) - [j26]Vitor Guizilini, Fabio Ramos:
Variational Hilbert regression for terrain modeling and trajectory optimization. Int. J. Robotics Res. 38(12-13) (2019) - [j25]Amir Dezfouli, Kristi Griffiths, Fabio Ramos, Peter Dayan, Bernard W. Balleine:
Models that learn how humans learn: The case of decision-making and its disorders. PLoS Comput. Biol. 15(6) (2019) - [j24]Philippe Morere, Lionel Ott, Fabio Ramos:
Learning to Plan Hierarchically From Curriculum. IEEE Robotics Autom. Lett. 4(3): 2815-2822 (2019) - [j23]Weiming Zhi, Ransalu Senanayake, Lionel Ott, Fabio Ramos:
Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks. IEEE Robotics Autom. Lett. 4(4): 4306-4313 (2019) - [c127]Rafael Oliveira, Lionel Ott, Fabio Ramos:
Bayesian optimisation under uncertain inputs. AISTATS 2019: 1177-1184 - [c126]Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos:
Black Box Quantiles for Kernel Learning. AISTATS 2019: 1427-1437 - [c125]Kelvin Hsu, Fabio Ramos:
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. AISTATS 2019: 2631-2640 - [c124]Weiming Zhi, Lionel Ott, Fabio Ramos:
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. CoRL 2019: 1405-1414 - [c123]Alexandre J. Oliveira, Gleice A. de Assis, Elaine R. Faria, Jefferson R. Souza, Kelen Cristiane Teixeira Vivaldini, Vitor Guizilini, Fabio Ramos, Caio César Teodoro Mendes, Denis F. Wolf:
Analysis of nematodes in coffee crops at different altitudes using aerial images. EUSIPCO 2019: 1-5 - [c122]Kelvin Hsu, Fabio Ramos:
Bayesian Deconditional Kernel Mean Embeddings. ICML 2019: 2830-2838 - [c121]Gilad Francis, Lionel Ott, Fabio Ramos:
Fast Stochastic Functional Path Planning in Occupancy Maps. ICRA 2019: 929-935 - [c120]Vitor Guizilini, Ransalu Senanayake, Fabio Ramos:
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments. ICRA 2019: 4091-4097 - [c119]Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos:
Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. ICRA 2019: 4111-4117 - [c118]Tin Lai, Fabio Ramos, Gilad Francis:
Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees. ICRA 2019: 5537-5543 - [c117]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent. ICRA 2019: 6395-6401 - [c116]Fabio Ramos, Rafael Possas, Dieter Fox:
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators. Robotics: Science and Systems 2019 - [c115]Anthony Tompkins, Fabio Ramos:
Periodic Kernel Approximation by Index Set Fourier Series Features. UAI 2019: 486-496 - [i37]Rafael Oliveira, Lionel Ott, Fabio Ramos:
Bayesian optimisation under uncertain inputs. CoRR abs/1902.07908 (2019) - [i36]Kelvin Hsu, Fabio Ramos:
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. CoRR abs/1903.00863 (2019) - [i35]Kelvin Hsu, Fabio Ramos:
Bayesian Deconditional Kernel Mean Embeddings. CoRR abs/1906.00199 (2019) - [i34]Fabio Ramos, Rafael Carvalhaes Possas, Dieter Fox:
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators. CoRR abs/1906.01728 (2019) - [i33]Philippe Morere, Lionel Ott, Fabio Ramos:
Learning to Plan Hierarchically from Curriculum. CoRR abs/1906.07371 (2019) - [i32]Weiming Zhi, Lionel Ott, Fabio Ramos:
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. CoRR abs/1907.05127 (2019) - [i31]Fahira Afzal Maken, Fabio Ramos, Lionel Ott:
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent. CoRR abs/1907.09133 (2019) - [i30]Tin Lai, Weiming Zhi, Fabio Ramos:
Occ-Traj120: Occupancy Maps with Associated Trajectories. CoRR abs/1909.02333 (2019) - [i29]Tin Lai, Philippe Morere, Fabio Ramos, Gilad Francis:
Local Sampling-based Planning with Sequential Bayesian Updates. CoRR abs/1909.03452 (2019) - [i28]Weiming Zhi, Tin Lai, Lionel Ott, Gilad Francis, Fabio Ramos:
OCTNet: Trajectory Generation in New Environments from Past Experiences. CoRR abs/1909.11337 (2019) - [i27]Ajay Mandlekar, Fabio Ramos, Byron Boots, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. CoRR abs/1911.05321 (2019) - [i26]Tom Blau, Lionel Ott, Fabio Ramos:
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning. CoRR abs/1911.08701 (2019) - [i25]Vitor Guizilini, Ransalu Senanayake, Fabio Ramos:
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment. CoRR abs/1912.02149 (2019) - [i24]Harrison Nguyen, Simon Luo, Fabio Ramos:
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training. CoRR abs/1912.04391 (2019) - 2018
- [j22]Vitor Guizilini, Fabio Ramos:
Towards real-time 3D continuous occupancy mapping using Hilbert maps. Int. J. Robotics Res. 37(6): 566-584 (2018) - [j21]Vitor Guizilini, Fabio Ramos:
Learning to reconstruct 3D structures for occupancy mapping from depth and color information. Int. J. Robotics Res. 37(13-14) (2018) - [j20]Alberto Y. Hata, Fabio T. Ramos, Denis F. Wolf:
Monte Carlo Localization on Gaussian Process Occupancy Maps for Urban Environments. IEEE Trans. Intell. Transp. Syst. 19(9): 2893-2902 (2018) - [c114]Anthony Tompkins, Fabio Ramos:
Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling. AAAI 2018: 4155-4162 - [c113]Vitor Guizilini, Fabio Ramos:
Iterative Continuous Convolution for 3D Template Matching and Global Localization. AAAI 2018: 6493-6500 - [c112]Ransalu Senanayake, Fabio Ramos:
Building Continuous Occupancy Maps With Moving Robots. AAAI 2018: 6532-6539 - [c111]Vitor Guizilini, Fabio Ramos:
Fast 3D Modeling with Approximated Convolutional Kernels. CoRL 2018: 190-199 - [c110]Vitor Guizilini, Fabio Ramos:
Unpaired Learning of Dense Visual Depth Estimators for Urban Environments. CoRL 2018: 200-212 - [c109]Philippe Morere, Fabio Ramos:
Bayesian RL for Goal-Only Rewards. CoRL 2018: 386-398 - [c108]Ransalu Senanayake, Anthony Tompkins, Fabio Ramos:
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. CoRL 2018: 443-455 - [c107]Rafael Possas, Sheila M. Pinto-Caceres, Fabio Ramos:
Egocentric Activity Recognition on a Budget. CVPR 2018: 5967-5976 - [c106]Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.:
Learning to Race Through Coordinate Descent Bayesian Optimisation. ICRA 2018: 6431-6438 - [c105]Ransalu Senanayake, Fabio Ramos:
Directional Grid Maps: Modeling Multimodal Angular Uncertainty in Dynamic Environments. IROS 2018: 3241-3248 - [c104]Tom Blau, Lionel Ott, Fabio Ramos:
Improving Reinforcement Learning Pre-Training with Variational Dropout. IROS 2018: 4115-4122 - [c103]Philippe Morere, Román Marchant, Fabio Ramos:
Continuous State-Action-Observation POMDPs for Trajectory Planning with Bayesian Optimisation. IROS 2018: 8779-8786 - [c102]Amir Dezfouli, Richard W. Morris, Fabio T. Ramos, Peter Dayan, Bernard W. Balleine:
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models. NeurIPS 2018: 4233-4242 - [c101]Kelvin Hsu, Richard Nock, Fabio Ramos:
Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds. ECML/PKDD (2) 2018: 227-242 - [i23]Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.:
Learning to Race through Coordinate Descent Bayesian Optimisation. CoRR abs/1802.06179 (2018) - [i22]Harrison Nguyen, Richard W. Morris, Anthony W. Harris, Mayuresh S. Korgoankar, Fabio Ramos:
Removing scanner biases using Generative Adversarial Networks. CoRR abs/1803.09375 (2018) - [i21]Sahil Garg, Amarjeet Singh, Fabio Ramos:
Adaptive Sensing for Learning Nonstationary Environment Models. CoRR abs/1804.10279 (2018) - [i20]Sahil Garg, Amarjeet Singh, Fabio Ramos:
Learning Non-Stationary Space-Time Models for Environmental Monitoring. CoRR abs/1804.10535 (2018) - [i19]Gilad Francis, Lionel Ott, Fabio Ramos:
Functional Path Optimisation for Exploration in Continuous Occupancy Maps. CoRR abs/1805.01079 (2018) - [i18]Anthony Tompkins, Fabio Ramos:
Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels. CoRR abs/1805.04982 (2018) - [i17]Louis C. Tiao, Edwin V. Bonilla, Fabio Ramos:
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference. CoRR abs/1806.01771 (2018) - [i16]Kelvin Hsu, Richard Nock, Fabio Ramos:
Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds. CoRR abs/1809.00175 (2018) - [i15]Ransalu Senanayake, Fabio Ramos:
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments. CoRR abs/1809.00498 (2018) - [i14]Tin Lai, Fabio Ramos, Gilad Francis:
Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees. CoRR abs/1810.03749 (2018) - 2017
- [c100]Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps. AAAI 2017: 3827-3833 - [c99]Ransalu Senanayake, Fabio Ramos:
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping. CoRL 2017: 458-471 - [c98]Edmar R. S. De Rezende, Guilherme C. S. Ruppert, Tiago J. Carvalho, Fabio Ramos, Paulo L. de Geus:
Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network. ICMLA 2017: 1011-1014 - [c97]Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Tozeto Ramos:
Learning highly dynamic environments with stochastic variational inference. ICRA 2017: 2532-2539 - [c96]Gilad Francis, Lionel Ott, Fabio Ramos:
Stochastic functional gradient for motion planning in continuous occupancy maps. ICRA 2017: 3778-3785 - [c95]Charika De Alvis, Lionel Ott, Fabio Ramos:
Online learning for scene segmentation with laser-constrained CRFs. ICRA 2017: 4639-4643 - [c94]Philippe Morere, Román Marchant, Fabio Tozeto Ramos:
Sequential Bayesian optimization as a POMDP for environment monitoring with UAVs. ICRA 2017: 6381-6388 - [c93]Roberto S. Inoue, Vitor Guizilini, Marco H. Terra, Fabio Ramos:
Markovian jump linear systems-based filtering for visual and GPS aided inertial navigation system. IROS 2017: 4083-4089 - [c92]Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
Variational Hilbert Regression with Applications to Terrain Modeling. ISRR 2017: 421-436 - [c91]Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos:
Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. ISRR 2017: 489-504 - [c90]Gilad Francis, Lionel Ott, Fabio Ramos:
Functional Path Optimisation for Exploration in Continuous Occupancy Maps. ISRR 2017: 859-875 - [c89]Vitor Guizilini, Fabio Ramos:
Learning to Reconstruct 3D Structures for Occupancy Mapping. Robotics: Science and Systems 2017 - [i13]Charika De Alvis, Lionel Ott, Fabio Tozeto Ramos:
Urban Scene Segmentation with Laser-Constrained CRFs. CoRR abs/1701.01892 (2017) - [i12]Gilad Francis, Lionel Ott, Fabio Tozeto Ramos:
Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps. CoRR abs/1703.00194 (2017) - [i11]Gilad Francis, Lionel Ott, Román Marchant, Fabio Ramos:
Occupancy Map Building through Bayesian Exploration. CoRR abs/1703.00227 (2017) - [i10]Philippe Morere, Román Marchant, Fabio Ramos:
Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVs. CoRR abs/1703.04211 (2017) - [i9]Gilad Francis, Lionel Ott, Fabio Ramos:
Stochastic Functional Gradient Path Planning in Occupancy Maps. CoRR abs/1705.05987 (2017) - [i8]Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos:
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty. CoRR abs/1709.02169 (2017) - [i7]Thushan Ganegedara, Lionel Ott, Fabio Ramos:
Learning to Navigate by Growing Deep Networks. CoRR abs/1712.05084 (2017) - 2016
- [j19]Fabio Ramos, Lionel Ott:
Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent. Int. J. Robotics Res. 35(14): 1717-1730 (2016) - [j18]Markus Schneider, Wolfgang Ertel, Fabio Ramos:
Expected similarity estimation for large-scale batch and streaming anomaly detection. Mach. Learn. 105(3): 305-333 (2016) - [c88]Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Ramos:
Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression. AAAI 2016: 3901-3907 - [c87]Darren Shen, Fabio Ramos:
Kernel Embeddings of Longitudinal Data. Australasian Conference on Artificial Intelligence 2016: 495-506 - [c86]Thushan Ganegedara, Lionel Ott, Fabio Ramos:
Online Adaptation of Deep Architectures with Reinforcement Learning. ECAI 2016: 577-585 - [c85]Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Tozeto Ramos, Ben Upcroft:
Simple online and realtime tracking. ICIP 2016: 3464-3468 - [c84]Carlos E. O. Vido, Fabio Ramos:
From grids to continuous occupancy maps through area kernels. ICRA 2016: 1043-1048 - [c83]Alex Bewley, Lionel Ott, Fabio Ramos, Ben Upcroft:
Alextrac: Affinity learning by exploring temporal reinforcement within association chains. ICRA 2016: 2212-2218 - [c82]Kelen Cristiane Teixeira Vivaldini, Vitor Campanholo Guizilini, Matheus Della Croce Oliveira, Thiago H. Martinelli, Denis Fernando Wolf, Fabio Tozeto Ramos:
Route planning for active classification with UAVs. ICRA 2016: 2563-2568 - [c81]Danilo Habermann, Carlos E. O. Vido, Fernando Santos Osório, Fabio Tozeto Ramos:
Road junction detection from 3D point clouds. IJCNN 2016: 4934-4940 - [c80]Charika De Alvis, Lionel Ott, Fabio Tozeto Ramos:
Urban scene segmentation with laser-constrained CRFs. IROS 2016: 2147-2154 - [c79]Vitor Guizilini, Fabio Ramos:
Large-scale 3D scene reconstruction with Hilbert Maps. IROS 2016: 3247-3254 - [c78]Alberto Yukinobu Hata, Denis Fernando Wolf, Fabio Tozeto Ramos:
Particle Filter Localization on Continuous Occupancy Maps. ISER 2016: 742-751 - [c77]Fernando Henrique Morais Da Rocha, Valdir Grassi Jr., Vitor Campanholo Guizilini, Fabio Ramos:
Model Predictive Control of a Heavy-Duty Truck Based on Gaussian Process. LARS/SBR 2016: 97-102 - [c76]Ransalu Senanayake, Lionel Ott, Simon Timothy O'Callaghan, Fabio Tozeto Ramos:
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments. NIPS 2016: 3918-3926 - [i6]Markus Schneider, Wolfgang Ertel, Fabio T. Ramos:
Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection. CoRR abs/1601.06602 (2016) - [i5]Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Ramos, Ben Upcroft:
Simple Online and Realtime Tracking. CoRR abs/1602.00763 (2016) - [i4]Thushan Ganegedara, Lionel Ott, Fabio Ramos:
Online Adaptation of Deep Architectures with Reinforcement Learning. CoRR abs/1608.02292 (2016) - 2015
- [j17]Vitor Campanholo Guizilini, Fabio Ramos:
Online self-supervised learning for dynamic object segmentation. Int. J. Robotics Res. 34(4-5): 559-581 (2015) - [c75]Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
A Nonparametric Online Model for Air Quality Prediction. AAAI 2015: 651-657 - [c74]Sachinthaka Abeywardana, Fabio Ramos:
Variational Inference for Nonparametric Bayesian Quantile Regression. AAAI 2015: 1686-1692 - [c73]Marcos Paul Gerardo-Castro, Thierry Peynot, Fabio Ramos, Robert Fitch:
Non-parametric consistency test for multiple-sensing-modality data fusion. FUSION 2015: 443-451 - [c72]Jefferson R. Souza, Caio César Teodoro Mendes, Vitor Campanholo Guizilini, Kelen Cristiane Teixeira Vivaldini, Adimara Colturato, Fabio Tozeto Ramos, Denis Fernando Wolf:
Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images. ICRA 2015: 3443-3448 - [c71]Fabio Tozeto Ramos, Lionel Ott:
Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent. Robotics: Science and Systems 2015 - 2014
- [c70]Markus Schneider, Fabio Ramos:
Transductive Learning for Multi-Task Copula Processes. ECAI 2014: 1089-1090 - [c69]Marcos Paul Gerardo-Castro, Thierry Peynot, Fabio Tozeto Ramos, Robert Fitch:
Robust multiple-sensing-modality data fusion using Gaussian Process Implicit Surfaces. FUSION 2014: 1-8 - [c68]Kai Zhan, Vitor Guizilini, Fabio Ramos:
Dense motion segmentation for first-person activity recognition. ICARCV 2014: 123-128 - [c67]Alex Bewley, Vitor Campanholo Guizilini, Fabio Tozeto Ramos, Ben Upcroft:
Online self-supervised multi-instance segmentation of dynamic objects. ICRA 2014: 1296-1303 - [c66]Jefferson R. Souza, Román Marchant, Lionel Ott, Denis Fernando Wolf, Fabio Ramos:
Bayesian optimisation for active perception and smooth navigation. ICRA 2014: 4081-4087 - [c65]Román Marchant, Fabio Tozeto Ramos:
Bayesian Optimisation for informative continuous path planning. ICRA 2014: 6136-6143 - [c64]Simon Timothy O'Callaghan, Fabio Tozeto Ramos:
Gaussian Process Occupancy Maps for Dynamic Environments. ISER 2014: 791-805 - [c63]Lionel Ott, Linsey Xiaolin Pang, Fabio Tozeto Ramos, Sanjay Chawla:
On Integrated Clustering and Outlier Detection. NIPS 2014: 1359-1367 - [c62]Kai Zhan, Steven Faux, Fabio Ramos:
Multi-scale Conditional Random Fields for first-person activity recognition. PerCom 2014: 51-59 - [c61]Román Marchant, Fabio Ramos, Scott Sanner:
Sequential Bayesian Optimisation for Spatial-Temporal Monitoring. UAI 2014: 553-562 - [i3]Lionel Ott, Linsey Xiaolin Pang, Fabio Ramos, David Howe, Sanjay Chawla:
Integer Programming Relaxations for Integrated Clustering and Outlier Detection. CoRR abs/1403.1329 (2014) - [i2]Markus Schneider, Fabio Ramos:
Transductive Learning for Multi-Task Copula Processes. CoRR abs/1406.0304 (2014) - 2013
- [j16]Vitor Guizilini, Fabio Ramos:
Semi-parametric learning for visual odometry. Int. J. Robotics Res. 32(5): 526-546 (2013) - [j15]Lionel Ott, Fabio Ramos:
Unsupervised online learning for long-term autonomy. Int. J. Robotics Res. 32(14): 1724-1741 (2013) - [c60]Marcos Paul Gerardo-Castro, Thierry Peynot, Fabio Ramos:
Laser-Radar Data Fusion with Gaussian Process Implicit Surfaces. FSR 2013: 289-302 - [c59]Lachlan McCalman, Simon Timothy O'Callaghan, Fabio Ramos:
Multi-modal estimation with kernel embeddings for learning motion models. ICRA 2013: 2845-2852 - [c58]Vitor Guizilini, Fabio Ramos:
Online self-supervised segmentation of dynamic objects. ICRA 2013: 4720-4727 - [c57]Alistair Reid, Simon Timothy O'Callaghan, Edwin V. Bonilla, Lachlan McCalman, Tim Rawling, Fabio Ramos:
Bayesian Joint Inversions for the Exploration of Earth Resources. IJCAI 2013: 2877-2884 - [c56]Lionel Ott, Fabio Ramos:
Multi-sensor clustering using Layered Affinity Propagation. IROS 2013: 2819-2826 - [c55]Alistair Reid, Fabio Ramos, Salah Sukkarieh:
Bayesian Fusion for Multi-Modal Aerial Images. Robotics: Science and Systems 2013 - 2012
- [j14]Simon Timothy O'Callaghan, Fabio T. Ramos:
Gaussian process occupancy maps. Int. J. Robotics Res. 31(1): 42-62 (2012) - [j13]Zuolei Sun, Joop van de Ven, Fabio Ramos, Xuchu Mao, Hugh F. Durrant-Whyte:
Inferring laser-scan matching uncertainty with conditional random fields. Robotics Auton. Syst. 60(1): 83-94 (2012) - [j12]Fabio Ramos, Ben Upcroft, Suresh Kumar, Hugh F. Durrant-Whyte:
A Bayesian approach for place recognition. Robotics Auton. Syst. 60(4): 487-497 (2012) - [c54]Sahil Garg, Amarjeet Singh, Fabio Ramos:
Learning Non-Stationary Space-Time Models for Environmental Monitoring. AAAI 2012: 288-294 - [c53]Mohamed Nabil Hajj Chehade, Pinar Ozisik, James Gomez, Fabio Ramos, Greg Pottie:
Detecting stumbles with a single accelerometer. EMBC 2012: 6681-6686 - [c52]Adrian Ball, David C. Rye, Fabio Ramos, Mari Velonaki:
Unsupervised clustering of people from 'skeleton' data. HRI 2012: 225-226 - [c51]Kai Zhan, Fabio Ramos, Steven Faux:
Activity recognition from a wearable camera. ICARCV 2012: 365-370 - [c50]Hang Zhou, Peter Hatherly, Sildomar T. Monteiro, Fabio Ramos, Florian Oppolzer, Eric Nettleton, Steve Scheding:
Automatic rock recognition from drilling performance data. ICRA 2012: 3407-3412 - [c49]Vitor Guizilini, Fabio Ramos:
Semi-parametric models for visual odometry. ICRA 2012: 3482-3489 - [c48]Lionel Ott, Fabio Ramos:
Unsupervised incremental learning for long-term autonomy. ICRA 2012: 4022-4029 - [c47]Román Marchant, Fabio Ramos:
Bayesian optimisation for Intelligent Environmental Monitoring. IROS 2012: 2242-2249 - [c46]Lionel Ott, Fabio Ramos:
Real-Time Clustering for Long-Term Autonomy. ISER 2012: 129-141 - [i1]Joop van de Ven, Fabio Ramos:
Distributed Anytime MAP Inference. CoRR abs/1202.3767 (2012) - 2011
- [j11]Bertrand Douillard, Dieter Fox, Fabio T. Ramos, Hugh F. Durrant-Whyte:
Classification and Semantic Mapping of Urban Environments. Int. J. Robotics Res. 30(1): 5-32 (2011) - [j10]Karl Granström, Thomas B. Schön, Juan I. Nieto, Fabio T. Ramos:
Learning to close loops from range data. Int. J. Robotics Res. 30(14): 1728-1754 (2011) - [c45]Simon Timothy O'Callaghan, Fabio T. Ramos:
Continuous Occupancy Mapping with Integral Kernels. AAAI 2011: 1494-1500 - [c44]Adrian Ball, David C. Rye, Fabio Ramos, Mari Velonaki:
A comparison of unsupervised learning algorithms for gesture clustering. HRI 2011: 111-112 - [c43]Shrihari Vasudevan, Fabio Ramos, Eric Nettleton, Hugh F. Durrant-Whyte:
Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling. ICRA 2011: 1875-1882 - [c42]Hang Zhou, Peter Hatherly, Fabio Ramos, Eric Nettleton:
An adaptive data driven model for characterizing rock properties from Drilling data. ICRA 2011: 1909-1915 - [c41]Alistair Reid, Fabio Ramos, Salah Sukkarieh:
Multi-class classification of vegetation in natural environments using an Unmanned Aerial system. ICRA 2011: 2953-2959 - [c40]Simon Timothy O'Callaghan, Surya P. N. Singh, Alen Alempijevic, Fabio T. Ramos:
Learning navigational maps by observing human motion patterns. ICRA 2011: 4333-4340 - [c39]Jose F. Zubizarreta-Rodriguez, Fabio Ramos:
Multi-task learning of system dynamics with maximum information gain. ICRA 2011: 5709-5715 - [c38]Vitor Guizilini, Fabio Ramos:
Visual odometry learning for unmanned aerial vehicles. ICRA 2011: 6213-6220 - [c37]Arman Melkumyan, Fabio Ramos:
Multi-Kernel Gaussian Processes. IJCAI 2011: 1408-1413 - [c36]Sildomar T. Monteiro, Joop van de Ven, Fabio Ramos, Peter Hatherly:
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining. IJCAI 2011: 2500-2506 - [c35]Guilherme Sousa Bastos, Luiz E. Souza, Fabio T. Ramos, Carlos H. C. Ribeiro:
A single-dependent agent approach for stochastic time-dependent truck dispatching in open-pit mining. ITSC 2011: 1057-1062 - [c34]Joop van de Ven, Fabio Ramos:
Distributed Anytime MAP Inference. UAI 2011: 708-716 - 2010
- [j9]Mitch Bryson, Alistair Reid, Fabio T. Ramos, Salah Sukkarieh:
Airborne vision-based mapping and classification of large farmland environments. J. Field Robotics 27(5): 632-655 (2010) - [j8]Ali Kadkhodaie-Ilkhchi, Sildomar T. Monteiro, Fabio Ramos, Peter Hatherly:
Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic. IEEE Geosci. Remote. Sens. Lett. 7(4): 680-684 (2010) - [j7]Shrihari Vasudevan, Fabio Tozeto Ramos, Eric Nettleton, Hugh F. Durrant-Whyte:
A Mine on Its Own. IEEE Robotics Autom. Mag. 17(2): 63-73 (2010) - [c33]Hang Zhou, Fabio T. Ramos, Eric Nettleton:
Improving Kernel Methods through Complex Data Mapping. ICDM 2010: 669-678 - [c32]Zuolei Sun, Joop van de Ven, Fabio T. Ramos, Xuchu Mao, Hugh F. Durrant-Whyte:
Inferring motion uncertainty from shape-Matching. ICRA 2010: 115-120 - [c31]Joop van de Ven, Fabio Ramos, Gian Diego Tipaldi:
An integrated probabilistic model for scan-matching, moving object detection and motion estimation. ICRA 2010: 887-894 - [c30]Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte:
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling. ICRA 2010: 3452-3459 - [c29]Simon Timothy O'Callaghan, Fabio T. Ramos, Hugh F. Durrant-Whyte:
Contextual occupancy maps incorporating sensor and location uncertainty. ICRA 2010: 3478-3485 - [c28]Hang Zhou, Sildomar T. Monteiro, Peter Hatherly, Fabio T. Ramos, Eric Nettleton, Florian Oppolzer:
Automated rock recognition with wavelet feature space projection and Gaussian Process classification. ICRA 2010: 4444-4450 - [c27]Amarjeet Singh, Fabio Ramos, Hugh F. Durrant-Whyte, William J. Kaiser:
Modeling and decision making in spatio-temporal processes for environmental surveillance. ICRA 2010: 5490-5497 - [c26]Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte:
Large-scale terrain modeling from multiple sensors with dependent Gaussian processes. IROS 2010: 1215-1221 - [c25]Cesar Dario Cadena Lerma, Dorian Gálvez-López, Fabio T. Ramos, Juan D. Tardós, José Neira:
Robust place recognition with stereo cameras. IROS 2010: 5182-5189 - [c24]Mitch Bryson, Alistair Reid, Calvin Hung, Fabio Tozeto Ramos, Salah Sukkarieh:
Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications. ISER 2010: 509-523 - [c23]Vitor Campanholo Guizilini, Fabio Tozeto Ramos:
Multi-task Learning of Visual Odometry Estimators. ISER 2010: 727-742
2000 – 2009
- 2009
- [j6]Oliver Brock, Jeff Trinkle, Fabio Ramos:
Robotics: Science and Systems IV. AI Mag. 30(4): 113-114 (2009) - [j5]Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte:
Gaussian process modeling of large-scale terrain. J. Field Robotics 26(10): 812-840 (2009) - [c22]Cesar Dario Cadena Lerma, Fabio Ramos, José Neira:
Efficient Large Scale SLAM Including Data Association using the Combined Filter. ECMR 2009: 217-222 - [c21]Sildomar T. Monteiro, Fabio T. Ramos, Peter Hatherly:
Conditional Random Fields for Rock Characterization Using Drill Measurements. ICMLA 2009: 366-371 - [c20]Karl Granström, Jonas Callmer, Fabio T. Ramos, Juan I. Nieto:
Learning to detect loop closure from range data. ICRA 2009: 15-22 - [c19]Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte, Allan Blair:
Gaussian Process modeling of large scale terrain. ICRA 2009: 1047-1053 - [c18]Simon Timothy O'Callaghan, Fabio T. Ramos, Hugh F. Durrant-Whyte:
Contextual occupancy maps using Gaussian processes. ICRA 2009: 1054-1060 - [c17]Arman Melkumyan, Fabio Ramos:
A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets. IJCAI 2009: 1936-1942 - [c16]Gian Diego Tipaldi, Fabio Ramos:
Motion clustering and estimation with conditional random fields. IROS 2009: 872-877 - [e1]Oliver Brock, Jeff Trinkle, Fabio Ramos:
Robotics: Science and Systems IV, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland, June 25-28, 2008. The MIT Press 2009, ISBN 978-0-262-51309-8 [contents] - 2008
- [b1]Fabio Tozeto Ramos:
Recognising, Representing and Mapping Natural Features in Unstructured Environments. University of Sydney, Australia, 2008 - [j4]Fabio T. Ramos, Suresh Kumar, Ben Upcroft, Hugh F. Durrant-Whyte:
A Natural Feature Representation for Unstructured Environments. IEEE Trans. Robotics 24(6): 1329-1340 (2008) - [c15]Fabio T. Ramos, Mohammed Waleed Kadous, Dieter Fox:
Learning to Associate Image Features with CRF-Matching. ISER 2008: 505-514 - [c14]Bertrand Douillard, Dieter Fox, Fabio Ramos:
Laser and Vision Based Outdoor Object Mapping. Robotics: Science and Systems 2008 - 2007
- [j3]Fabio T. Ramos, Bruce Dickson, Suresh Kumar:
Denoising aerial gamma-ray surveying through non-linear dimensionality reduction. J. Field Robotics 24(10): 849-861 (2007) - [j2]Tobias Kaupp, Bertrand Douillard, Fabio T. Ramos, Alexei Makarenko, Ben Upcroft:
Shared environment representation for a human-robot team performing information fusion. J. Field Robotics 24(11-12): 911-942 (2007) - [c13]Fabio T. Ramos, Juan I. Nieto, Hugh F. Durrant-Whyte:
Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM. ICRA 2007: 2036-2041 - [c12]Bertrand Douillard, Dieter Fox, Fabio T. Ramos:
A spatio-temporal probabilistic model for multi-sensor object recognition. IROS 2007: 2402-2408 - [c11]Bertrand Douillard, Dieter Fox, Fabio Ramos:
A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition. ISRR 2007: 123-134 - [c10]Fabio T. Ramos, Dieter Fox, Hugh F. Durrant-Whyte:
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching. Robotics: Science and Systems 2007 - 2006
- [c9]Ben Upcroft, Bertrand Douillard, Tobias Kaupp, Matthew Ridley, Lee-Ling S. Ong, Suresh Kumar, Tim Bailey, Fabio Ramos, Salah Sukkarieh, Hugh F. Durrant-Whyte:
Non-Gaussian State Estimation in an Outdoor Decentralised Sensor Network. CDC 2006: 366-372 - [c8]X. Rosalind Wang, Suresh Kumar, Fabio Ramos, Tobias Kaupp, Ben Upcroft, Hugh F. Durrant-Whyte:
Probabilistic Classification of Hyperspectral Images by Learning Nonlinear Dimensionality Reduction Mapping. FUSION 2006: 1-8 - [c7]Suresh Kumar, Fabio T. Ramos, Bertrand Douillard, Matthew Ridley, Hugh F. Durrant-Whyte:
A Novel Visual Perception Framework. ICARCV 2006: 1-6 - [c6]Fabio T. Ramos, Ben Upcroft, Suresh Kumar, Hugh F. Durrant-Whyte:
Recognising and Segmenting Objects in Natural Environments. IROS 2006: 5866-5871 - [c5]Fabio T. Ramos, Juan I. Nieto, Hugh F. Durrant-Whyte:
Combining Object Recognition and SLAM for Extended Map Representations. ISER 2006: 55-64 - [c4]Ben Upcroft, Matthew Ridley, Lee-Ling S. Ong, Bertrand Douillard, Tobias Kaupp, Suresh Kumar, Tim Bailey, Fabio T. Ramos, Alexei Makarenko, Alex Brooks, Salah Sukkarieh, Hugh F. Durrant-Whyte:
Multi-level State Estimation in an Outdoor Decentralised Sensor Network. ISER 2006: 355-365 - 2005
- [j1]Fabio Tozeto Ramos, Fábio Gagliardi Cozman:
Anytime anyspace probabilistic inference. Int. J. Approx. Reason. 38(1): 53-80 (2005) - [c3]X. Rosalind Wang, Fabio T. Ramos:
Applying Structural EM in Autonomous Planetary Exploration Missions using Hyperspectral Image Spectroscopy. ICRA 2005: 4284-4289 - [c2]Suresh Kumar, Fabio Ramos, Ben Upcroft, Hugh F. Durrant-Whyte:
A statistical framework for natural feature representation. IROS 2005: 1582-1587 - 2004
- [c1]Jaime Shinsuke Ide, Fábio Gagliardi Cozman, Fabio Tozeto Ramos:
Generating Random Bayesian Networks with Constraints on Induced Width. ECAI 2004: 323-327
Coauthor Index
[j35] [j34] [j32] [c161] [c155] [i75] [c148] [c146] [c145] [c142] [i63] [i62] [i61] [c135] [c134] [i53] [i50] [i41] [j27] [j24] [j23] [c127] [c124] [c121] [c119] [c117] [i37] [i33] [i32] [i31] [i28] [i26] [c106] [c104] [i23] [i19] [c96] [c95] [c91] [c90] [i13] [i12] [i11] [i9] [i8] [i7] [j19] [c86] [c85] [c83] [c80] [c76] [i5] [i4] [c71] [c66] [c63] [i3] [j15] [c56] [c48] [c46]
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