Fabio Ramos

273 papers A* 56A 28C 8Misc 15Journal 141Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Edge-Aware Graph Learning Methods.
IEEE Trans. Netw. Sci. Eng.
Wagner A. Junior, Fabio Ramos, Alex Borges Vieira, José Augusto Miranda Nacif, Ricardo S. Ferreira
2026 J jnl
Deformable Cluster Manipulation via Whole-Arm Policy Learning.
IEEE Robotics Autom. Lett.
Jayadeep Jacob, Wenzheng Zhang, Houston Warren, Paulo V. K. Borges, Tirthankar Bandyopadhyay, Fabio Ramos
2026 J jnl
Diversity You Can Actually Measure: A Fast, Model-Free Diversity Metric for Robotics Datasets.
CoRR
Sreevardhan Sirigiri, Nathan Samuel de Lara, Christopher Agia, Florian Shkurti, Fabio Ramos
2026 J jnl
Open-World Task and Motion Planning via Vision-Language Model Generated Constraints.
IEEE Robotics Autom. Lett.
Nishanth Kumar, William Shen, Fabio Ramos, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Caelan Reed Garrett
2025 J jnl
Aim My Robot: Precision Local Navigation to Any Object.
IEEE Robotics Autom. Lett.
Xiangyun Meng, Xuning Yang, Sanghun Jung, Fabio Ramos, Srid Sadhan Jujjavarapu, Sanjoy Paul, Dieter Fox
2025 J jnl
Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control.
CoRR
Hassan Abu Alhaija, José M. Álvarez, Maciej Bala, Tiffany Cai, Tianshi Cao, Liz Cha, Joshua Chen, Mike Chen, Francesco Ferroni, Sanja Fidler, Dieter Fox, Yunhao Ge, Jinwei Gu, Ali Hassani, Michael Isaev, Pooya Jannaty, Shiyi Lan, Tobias Lasser, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Alice Luo, Qianli Ma, Hanzi Mao, Fabio Ramos, Xuanchi Ren, Tianchang Shen, Xinglong Sun, Shitao Tang, Ting-Chun Wang, Jay Zhangjie Wu, Jiashu Xu, Stella Xu, Kevin Xie, Yuchong Ye, Xiaodong Yang, Xiaohui Zeng, Yu Zeng
2025 J jnl
Deformable Cluster Manipulation via Whole-Arm Policy Learning.
CoRR
Jayadeep Jacob, Wenzheng Zhang, Houston Warren, Paulo V. K. Borges, Tirthankar Bandyopadhyay, Fabio Ramos
2025 J jnl
Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation.
IEEE Access
Kenny A. Q. Caldas, Roberto S. Inoue, Marco H. Terra, Vitor Guizilini, Fabio Ramos
2025 A* conf
Diverse Motion Planning with Stein Diffusion Trajectory Inference.
ICRA
Zeya Yin, Tin Lai, Lucas Barcelos, Jayadeep Jacob, Yonghui Li, Fabio Ramos
2025 J jnl
Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification.
CoRR
Yilin Wu, Anqi Li, Tucker Hermans, Fabio Ramos, Andrea Bajcsy, Claudia Pérez-D'Arpino
2025 J jnl
Dynamic Q-planning for online UAV path planning in unknown and complex environments.
Int. J. Intell. Robotics Appl.
Lidia Giane da Rocha, Kenny A. Q. Caldas, Marco H. Terra, Fabio Ramos, Kelen Cristiane Teixeira Vivaldini
2025 A* conf
Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy.
ICRA
Christian Hughes, Houston Warren, Darrick Lee, Fabio Ramos, Ian Abraham
2025 J jnl
FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation Under Uncertainty.
IEEE Robotics Autom. Lett.
Michael Noseworthy, Bingjie Tang, Bowen Wen, Ankur Handa, Chad C. Kessens, Nicholas Roy, Dieter Fox, Fabio Ramos, Yashraj Narang, Iretiayo Akinola
2025 J jnl
GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training.
CoRR
Adithyavairavan Murali, Balakumar Sundaralingam, Yu-Wei Chao, Wentao Yuan, Jun Yamada, Mark Carlson, Fabio Ramos, Stan Birchfield, Dieter Fox, Clemens Eppner
2025 J jnl
HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation.
CoRR
Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Raymond Yu, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal
2025 A* conf
HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation.
ICLR
Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal
2025 J jnl
Harnessing Bounded-Support Evolution Strategies for Policy Refinement.
CoRR
Ethan Hirschowitz, Fabio Ramos
2025 J jnl
Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills.
CoRR
Weikang Wan, Fabio Ramos, Xuning Yang, Caelan Reed Garrett
2025 J jnl
Mass Conservation on Rails - Rethinking Physics-Informed Learning of Ice Flow Vector Fields.
CoRR
Kim Bente, Román Marchant, Fabio Ramos
2025 J jnl
PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies.
CoRR
Jesse Zhang, Marius Memmel, Kevin Kim, Dieter Fox, Jesse Thomason, Fabio Ramos, Erdem Biyik, Abhishek Gupta, Anqi Li
2025 J jnl
Q-STAC: Q-Guided Stein Variational Model Predictive Actor-Critic.
CoRR
Shizhe Cai, Jayadeep Jacob, Zeya Yin, Fabio Ramos
2025 J jnl
Refinery: Active Fine-tuning and Deployment-time Optimization for Contact-Rich Policies.
CoRR
Bingjie Tang, Iretiayo Akinola, Jie Xu, Bowen Wen, Dieter Fox, Gaurav S. Sukhatme, Fabio Ramos, Abhishek Gupta, Yashraj Narang
2025 J jnl
RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies.
CoRR
Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Clemens Eppner, Cyrus Neary, Edward S. Hu, Fabio Ramos, Jonathan Tremblay, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Jie Wang, Xingfang Yuan, Xuning Yang, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martin Martin, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine
2025 J jnl
Robot Policy Evaluation for Sim-to-Real Transfer: A Benchmarking Perspective.
CoRR
Xuning Yang, Clemens Eppner, Jonathan Tremblay, Dieter Fox, Stan Birchfield, Fabio Ramos
2025 J jnl
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent.
IEEE Robotics Autom. Lett.
Yewon Lee, Andrew Zou Li, Philip Huang, Eric Heiden, Krishna Murthy Jatavallabhula, Fabian Damken, Kevin Smith, Derek Nowrouzezahrai, Fabio Ramos, Florian Shkurti
2025 J jnl
ScheduleStream: Temporal Planning with Samplers for GPU-Accelerated Multi-Arm Task and Motion Planning & Scheduling.
CoRR
Caelan Reed Garrett, Fabio Ramos
2025 J jnl
The Reality Gap in Robotics: Challenges, Solutions, and Best Practices.
CoRR
Elie Aljalbout, Jiaxu Xing, Angel Romero, Iretiayo Akinola, Caelan Reed Garrett, Eric Heiden, Abhishek Gupta, Tucker Hermans, Yashraj Narang, Dieter Fox, Davide Scaramuzza, Fabio Ramos
2025 J jnl
VLA-0: Building State-of-the-Art VLAs with Zero Modification.
CoRR
Ankit Goyal, Hugo Hadfield, Xuning Yang, Valts Blukis, Fabio Ramos
2024 J jnl
Aim My Robot: Precision Local Navigation to Any Object.
CoRR
Xiangyun Meng, Xuning Yang, Sanghun Jung, Fabio Ramos, Srid Sadhan Jujjavarapu, Sanjoy Paul, Dieter Fox
2024 — conf
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries.
Robotics: Science and Systems
Bingjie Tang, Iretiayo Akinola, Jie Xu, Bowen Wen, Ankur Handa, Karl Van Wyk, Dieter Fox, Gaurav S. Sukhatme, Fabio Ramos, Yashraj Narang
2024 J jnl
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries.
CoRR
Bingjie Tang, Iretiayo Akinola, Jie Xu, Bowen Wen, Ankur Handa, Karl Van Wyk, Dieter Fox, Gaurav S. Sukhatme, Fabio Ramos, Yashraj Narang
2024 J jnl
Differentiable GPU-Parallelized Task and Motion Planning.
CoRR
William Shen, Caelan Reed Garrett, Ankit Goyal, Tucker Hermans, Fabio Ramos
2024 J jnl
Dynamic Q-planning for Online UAV Path Planning in Unknown and Complex Environments.
CoRR
Lidia Gianne Souza da Rocha, Kenny Anderson Queiroz Caldas, Marco Henrique Terra, Fabio Ramos, Kelen Cristiane Teixeira Vivaldini
2024 J jnl
Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy.
CoRR
Christian Hughes, Houston Warren, Darrick Lee, Fabio Ramos, Ian Abraham
2024 J jnl
FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty.
CoRR
Michael Noseworthy, Bingjie Tang, Bowen Wen, Ankur Handa, Nicholas Roy, Dieter Fox, Fabio Ramos, Yashraj Narang, Iretiayo Akinola
2024 A conf
Fast Fourier Bayesian Quadrature.
AISTATS
Houston Warren, Fabio Ramos
2024 Misc conf
Gentle Manipulation of Tree Branches: A Contact-Aware Policy Learning Approach.
CoRL
Jayadeep Jacob, Shizhe Cai, Paulo Vinicius Koerich Borges, Tirthankar Bandyopadhyay, Fabio Ramos
2024 J jnl
Grasping by parallel shape matching.
CoRR
Wenzheng Zhang, Fahira Afzal Maken, Tin Lai, Fabio Ramos
2024 J jnl
Learning to Simulate Tree-Branch Dynamics for Manipulation.
IEEE Robotics Autom. Lett.
Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo V. K. Borges, Fabio Ramos
2024 A conf
Neural Kinodynamic Planning: Learning for KinoDynamic Tree Expansion.
IROS
Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
2024 J jnl
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints.
CoRR
Nishanth Kumar, Fabio Ramos, Dieter Fox, Caelan Reed Garrett
2024 — conf
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following.
L4DC
Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos
2024 A conf
Stein Movement Primitives for Adaptive Multi-Modal Trajectory Generation.
IROS
Zeya Yin, Tin Lai, Subhan Khan, Jayadeep Jacob, Yonghui Li, Fabio Ramos
2024 J jnl
Stein Random Feature Regression.
CoRR
Houston Warren, Rafael Oliveira, Fabio Ramos
2024 J jnl
Stein Variational Belief Propagation for Multi-Robot Coordination.
IEEE Robotics Autom. Lett.
Jana Pavlasek, Joshua Jing Zhi Mah, Ruihan Xu, Odest Chadwicke Jenkins, Fabio Ramos
2024 — conf
Stein Variational Ergodic Search.
Robotics: Science and Systems
Darrick Lee, Cameron Lerch, Fabio Ramos, Ian Abraham
2024 J jnl
Stein Variational Ergodic Search.
CoRR
Darrick Lee, Cameron Lerch, Fabio Ramos, Ian Abraham
2023 J jnl
CuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation.
CoRR
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 A* conf
CuRobo: Parallelized Collision-Free Robot Motion Generation.
ICRA
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 A* conf
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets.
ICRA
Isabella Huang, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Tucker Hermans, Dieter Fox
2023 J jnl
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets.
CoRR
Isabella Huang, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Tucker Hermans, Dieter Fox
2023 J jnl
DiSECt: a differentiable simulator for parameter inference and control in robotic cutting.
Auton. Robots
Eric Heiden, Miles Macklin, Yashraj Narang, Dieter Fox, Animesh Garg, Fabio Ramos
2023 A* conf
Global and Reactive Motion Generation with Geometric Fabric Command Sequences.
ICRA
Weiming Zhi, Iretiayo Akinola, Karl Van Wyk, Nathan D. Ratliff, Fabio Ramos
2023 — conf
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality.
Robotics: Science and Systems
Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj Narang
2023 J jnl
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality.
CoRR
Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj Narang
2023 J jnl
Learning to Simulate Tree-Branch Dynamics for Manipulation.
CoRR
Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo V. K. Borges, Fabio Ramos
2023 J jnl
Path Signatures for Diversity in Probabilistic Trajectory Optimisation.
CoRR
Lucas Barcelos, Tin Lai, Rafael Oliveira, Paulo V. K. Borges, Fabio Ramos
2023 Misc conf
Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference.
CoRL
Jana Pavlasek, Stanley Robert Lewis, Balakumar Sundaralingam, Fabio Ramos, Tucker Hermans
2023 J jnl
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent.
CoRR
Yewon Lee, Philip Huang, Krishna Murthy Jatavallabhula, Andrew Zou Li, Fabian Damken, Eric Heiden, Kevin Smith, Derek Nowrouzezahrai, Fabio Ramos, Florian Shkurti
2023 J jnl
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following.
CoRR
Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos
2023 J jnl
Stein Variational Belief Propagation for Multi-Robot Coordination.
CoRR
Jana Pavlasek, Joshua Jing Zhi Mah, Ruihan Xu, Odest Chadwicke Jenkins, Fabio Ramos
2022 J jnl
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation.
IEEE Robotics Autom. Lett.
Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg
2022 A* conf
Accelerated Policy Learning with Parallel Differentiable Simulation.
ICLR
Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin
2022 — conf
Adaptive Model Predictive Control by Learning Classifiers.
L4DC
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2022 J jnl
Adaptive Model Predictive Control by Learning Classifiers.
CoRR
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2022 J jnl
Adaptively Exploits Local Structure With Generalised Multi-Trees Motion Planning.
IEEE Robotics Autom. Lett.
Tin Lai, Fabio Ramos
2022 J jnl
Batch Bayesian optimisation via density-ratio estimation with guarantees.
CoRR
Rafael Oliveira, Louis C. Tiao, Fabio Ramos
2022 Misc conf
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming.
CoRL
Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos
2022 A* conf
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty.
ICRA
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2022 J jnl
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty.
CoRR
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2022 J jnl
Bayesian iterative closest point for mobile robot localization.
Int. J. Robotics Res.
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2022 J jnl
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting.
CoRR
Eric Heiden, Miles Macklin, Yashraj Narang, Dieter Fox, Animesh Garg, Fabio Ramos
2022 — conf
Diffeomorphic Transforms for Generalised Imitation Learning.
L4DC
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2022 J jnl
L4KDE: Learning for KinoDynamic Tree Expansion.
CoRR
Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
2022 A conf
LTR*: Rapid Replanning in Executing Consecutive Tasks with Lazy Experience Graph.
IROS
Tin Lai, Fabio Ramos
2022 A* conf
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks.
ICML
Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos
2022 A* conf
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation.
ICRA
Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme
2022 A conf
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills.
IROS
Julia Tan, Ransalu Senanayake, Fabio Ramos
2022 J jnl
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills.
CoRR
Julia Tan, Ransalu Senanayake, Fabio Ramos
2022 J jnl
Robot Learning From Randomized Simulations: A Review.
Frontiers Robotics AI
Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
2022 J jnl
Stein ICP for Uncertainty Estimation in Point Cloud Matching.
IEEE Robotics Autom. Lett.
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2022 J jnl
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation.
CoRR
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2022 J jnl
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation.
IEEE Robotics Autom. Lett.
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2021 J jnl
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation.
CoRR
Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg
2021 A* conf
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements.
ICRA
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2021 A* conf
BORE: Bayesian Optimization by Density-Ratio Estimation.
ICML
Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos
2021 J jnl
BORE: Bayesian Optimization by Density-Ratio Estimation.
CoRR
Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos
2021 J jnl
BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym.
CoRR
Rika Antonova, Fabio Ramos, Rafael Possas, Dieter Fox
2021 — conf
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting.
Robotics: Science and Systems
Eric Heiden, Miles Macklin, Yashraj Narang, Dieter Fox, Animesh Garg, Fabio Ramos
2021 J jnl
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting.
CoRR
Eric Heiden, Miles Macklin, Yashraj Narang, Dieter Fox, Animesh Garg, Fabio Ramos
2021 — conf
Dual Online Stein Variational Inference for Control and Dynamics.
Robotics: Science and Systems
Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos
2021 J jnl
Dual Online Stein Variational Inference for Control and Dynamics.
CoRR
Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos
2021 J jnl
Fast Joint Space Model-Predictive Control for Reactive Manipulation.
CoRR
Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots
2021 A* conf
Fast Uncertainty Quantification for Deep Object Pose Estimation.
ICRA
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
2021 J jnl
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control.
IEEE Robotics Autom. Lett.
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2021 J jnl
Learning ODEs via Diffeomorphisms for Fast and Robust Integration.
CoRR
Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos
2021 A conf
No-regret approximate inference via Bayesian optimisation.
UAI
Rafael Oliveira, Lionel Ott, Fabio Ramos
2021 Misc conf
Parallelised Diffeomorphic Sampling-based Motion Planning.
CoRL
Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
2021 J jnl
Parallelised Diffeomorphic Sampling-based Motion Planning.
CoRR
Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
2021 A conf
PlannerFlows: Learning Motion Samplers with Normalising Flows.
IROS
Tin Lai, Fabio Ramos
2021 J jnl
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation.
CoRR
Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme
2021 A conf
Probabilistic Trajectory Prediction with Structural Constraints.
IROS
Weiming Zhi, Lionel Ott, Fabio Ramos
2021 J jnl
Probabilistic Trajectory Prediction with Structural Constraints.
CoRR
Weiming Zhi, Lionel Ott, Fabio Ramos
2021 J jnl
Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph.
CoRR
Tin Lai, Fabio Ramos
2021 J jnl
Robot Learning from Randomized Simulations: A Review.
CoRR
Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
2021 Misc conf
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation.
CoRL
Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots
2021 J jnl
Stein ICP for Uncertainty Estimation in Point Cloud Matching.
CoRR
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2021 A conf
Trajectory Generation in New Environments from Past Experiences.
IROS
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2020 Misc ed.
4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, MA, USA
CoRL
Jens Kober, Fabio Ramos, Claire J. Tomlin
2020 Misc conf
A User's Guide to Calibrating Robotic Simulators.
CoRL
Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos
2020 J jnl
A User's Guide to Calibrating Robotics Simulators.
CoRR
Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos
2020 A conf
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation.
UAI
Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos
2020 J jnl
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements.
CoRR
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2020 J jnl
Bayesian Local Sampling-Based Planning.
IEEE Robotics Autom. Lett.
Tin Lai, Philippe Morere, Fabio Ramos, Gilad Francis
2020 A* conf
DISCO: Double Likelihood-free Inference Stochastic Control.
ICRA
Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
2020 J jnl
DISCO: Double Likelihood-free Inference Stochastic Control.
CoRR
Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
2020 A* conf
Estimating Motion Uncertainty with Bayesian ICP.
ICRA
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2020 J jnl
Estimating Motion Uncertainty with Bayesian ICP.
CoRR
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2020 — conf
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems.
L4DC
Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff
2020 J jnl
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems.
CoRR
Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff
2020 J jnl
Fast Uncertainty Quantification for Deep Object Pose Estimation.
CoRR
Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
2020 A* conf
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning.
ICRA
Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox
2020 J jnl
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning.
CoRR
Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox
2020 J jnl
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control.
CoRR
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2020 A* conf
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.
ICRA
Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox
2020 A* conf
Inferring the Material Properties of Granular Media for Robotic Tasks.
ICRA
Carolyn Matl, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Dieter Fox
2020 J jnl
Inferring the Material Properties of Granular Media for Robotic Tasks.
CoRR
Carolyn Matl, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Dieter Fox
2020 J jnl
Intrinsic Exploration as Multi-Objective RL.
CoRR
Philippe Morere, Fabio Ramos
2020 J jnl
Learning to Plan Optimally with Flow-based Motion Planner.
CoRR
Tin Lai, Fabio Ramos
2020 J jnl
Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion.
CoRR
Sebastian Haan, Fabio Ramos, R. Dietmar Müller
2020 A conf
Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement.
IROS
Rafael Possas, Lucas Barcelos, Rafael Oliveira, Dieter Fox, Fabio Ramos
2020 — conf
Online Domain Adaptation for Occupancy Mapping.
Robotics: Science and Systems
Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
2020 J jnl
Online Domain Adaptation for Occupancy Mapping.
CoRR
Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
2020 J jnl
Reinforcement Learning with Probabilistically Complete Exploration.
CoRR
Philippe Morere, Gilad Francis, Tom Blau, Fabio Ramos
2020 Misc conf
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics.
CoRL
Carolyn Matl, Yashraj Narang, Dieter Fox, Ruzena Bajcsy, Fabio Ramos
2020 J jnl
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics.
CoRR
Carolyn Matl, Yashraj Narang, Dieter Fox, Ruzena Bajcsy, Fabio Ramos
2020 — conf
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training.
PAKDD (2)
Harrison Nguyen, Simon Luo, Fabio Ramos
2020 J jnl
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning.
CoRR
Anthony Tompkins, Rafael Oliveira, Fabio Ramos
2020 Misc conf
Stein Variational Model Predictive Control.
CoRL
Alexander Lambert, Fabio Ramos, Byron Boots, Dieter Fox, Adam Fishman
2020 J jnl
Stein Variational Model Predictive Control.
CoRR
Alexander Lambert, Adam Fishman, Dieter Fox, Byron Boots, Fabio Ramos
2019 — conf
Analysis of nematodes in coffee crops at different altitudes using aerial images.
EUSIPCO
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
2019 A* conf
Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees.
ICRA
Tin Lai, Fabio Ramos, Gilad Francis
2019 — conf
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators.
Robotics: Science and Systems
Fabio Ramos, Rafael Possas, Dieter Fox
2019 J jnl
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators.
CoRR
Fabio Ramos, Rafael Carvalhaes Possas, Dieter Fox
2019 J jnl
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning.
CoRR
Tom Blau, Lionel Ott, Fabio Ramos
2019 A* conf
Bayesian Deconditional Kernel Mean Embeddings.
ICML
Kelvin Hsu, Fabio Ramos
2019 J jnl
Bayesian Deconditional Kernel Mean Embeddings.
CoRR
Kelvin Hsu, Fabio Ramos
2019 A conf
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference.
AISTATS
Kelvin Hsu, Fabio Ramos
2019 J jnl
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference.
CoRR
Kelvin Hsu, Fabio Ramos
2019 A conf
Bayesian optimisation under uncertain inputs.
AISTATS
Rafael Oliveira, Lionel Ott, Fabio Ramos
2019 J jnl
Bayesian optimisation under uncertain inputs.
CoRR
Rafael Oliveira, Lionel Ott, Fabio Ramos
2019 A conf
Black Box Quantiles for Kernel Learning.
AISTATS
Anthony Tompkins, Ransalu Senanayake, Philippe Morere, Fabio Ramos
2019 A* conf
Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps.
ICRA
Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos
2019 J jnl
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment.
CoRR
Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
2019 A* conf
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments.
ICRA
Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
2019 A* conf
Fast Stochastic Functional Path Planning in Occupancy Maps.
ICRA
Gilad Francis, Lionel Ott, Fabio Ramos
2019 J jnl
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.
CoRR
Ajay Mandlekar, Fabio Ramos, Byron Boots, Li Fei-Fei, Animesh Garg, Dieter Fox
2019 Misc conf
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction.
CoRL
Weiming Zhi, Lionel Ott, Fabio Ramos
2019 J jnl
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction.
CoRR
Weiming Zhi, Lionel Ott, Fabio Ramos
2019 J jnl
Learning to Plan Hierarchically From Curriculum.
IEEE Robotics Autom. Lett.
Philippe Morere, Lionel Ott, Fabio Ramos
2019 J jnl
Learning to Plan Hierarchically from Curriculum.
CoRR
Philippe Morere, Lionel Ott, Fabio Ramos
2019 J jnl
Local Sampling-based Planning with Sequential Bayesian Updates.
CoRR
Tin Lai, Philippe Morere, Fabio Ramos, Gilad Francis
2019 J jnl
Models that learn how humans learn: The case of decision-making and its disorders.
PLoS Comput. Biol.
Amir Dezfouli, Kristi Griffiths, Fabio Ramos, Peter Dayan, Bernard W. Balleine
2019 J jnl
OCTNet: Trajectory Generation in New Environments from Past Experiences.
CoRR
Weiming Zhi, Tin Lai, Lionel Ott, Gilad Francis, Fabio Ramos
2019 J jnl
Occ-Traj120: Occupancy Maps with Associated Trajectories.
CoRR
Tin Lai, Weiming Zhi, Fabio Ramos
2019 J jnl
Occupancy map building through Bayesian exploration.
Int. J. Robotics Res.
Gilad Francis, Lionel Ott, Román Marchant, Fabio Ramos
2019 A conf
Periodic Kernel Approximation by Index Set Fourier Series Features.
UAI
Anthony Tompkins, Fabio Ramos
2019 J jnl
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training.
CoRR
Harrison Nguyen, Simon Luo, Fabio Ramos
2019 J jnl
Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks.
IEEE Robotics Autom. Lett.
Weiming Zhi, Ransalu Senanayake, Lionel Ott, Fabio Ramos
2019 A* conf
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent.
ICRA
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2019 J jnl
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent.
CoRR
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2019 J jnl
Variational Hilbert regression for terrain modeling and trajectory optimization.
Int. J. Robotics Res.
Vitor Guizilini, Fabio Ramos
2018 J jnl
Adaptive Sensing for Learning Nonstationary Environment Models.
CoRR
Sahil Garg, Amarjeet Singh, Fabio Ramos
2018 Misc conf
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments.
CoRL
Ransalu Senanayake, Anthony Tompkins, Fabio Ramos
2018 J jnl
Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees.
CoRR
Tin Lai, Fabio Ramos, Gilad Francis
2018 Misc conf
Bayesian RL for Goal-Only Rewards.
CoRL
Philippe Morere, Fabio Ramos
2018 A* conf
Building Continuous Occupancy Maps With Moving Robots.
AAAI
Ransalu Senanayake, Fabio Ramos
2018 A conf
Continuous State-Action-Observation POMDPs for Trajectory Planning with Bayesian Optimisation.
IROS
Philippe Morere, Román Marchant, Fabio Ramos
2018 J jnl
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference.
CoRR
Louis C. Tiao, Edwin V. Bonilla, Fabio Ramos
2018 A conf
Directional Grid Maps: Modeling Multimodal Angular Uncertainty in Dynamic Environments.
IROS
Ransalu Senanayake, Fabio Ramos
2018 J jnl
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments.
CoRR
Ransalu Senanayake, Fabio Ramos
2018 A* conf
Egocentric Activity Recognition on a Budget.
CVPR
Rafael Possas, Sheila M. Pinto-Caceres, Fabio Ramos
2018 Misc conf
Fast 3D Modeling with Approximated Convolutional Kernels.
CoRL
Vitor Guizilini, Fabio Ramos
2018 A* conf
Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling.
AAAI
Anthony Tompkins, Fabio Ramos
2018 J jnl
Functional Path Optimisation for Exploration in Continuous Occupancy Maps.
CoRR
Gilad Francis, Lionel Ott, Fabio Ramos
2018 — conf
Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds.
ECML/PKDD (2)
Kelvin Hsu, Richard Nock, Fabio Ramos
2018 J jnl
Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds.
CoRR
Kelvin Hsu, Richard Nock, Fabio Ramos
2018 A conf
Improving Reinforcement Learning Pre-Training with Variational Dropout.
IROS
Tom Blau, Lionel Ott, Fabio Ramos
2018 J jnl
Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels.
CoRR
Anthony Tompkins, Fabio Ramos
2018 A* conf
Iterative Continuous Convolution for 3D Template Matching and Global Localization.
AAAI
Vitor Guizilini, Fabio Ramos
2018 J jnl
Learning Non-Stationary Space-Time Models for Environmental Monitoring.
CoRR
Sahil Garg, Amarjeet Singh, Fabio Ramos
2018 A* conf
Learning to Race Through Coordinate Descent Bayesian Optimisation.
ICRA
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
2018 J jnl
Learning to Race through Coordinate Descent Bayesian Optimisation.
CoRR
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
2018 J jnl
Learning to reconstruct 3D structures for occupancy mapping from depth and color information.
Int. J. Robotics Res.
Vitor Guizilini, Fabio Ramos
2018 J jnl
Removing scanner biases using Generative Adversarial Networks.
CoRR
Harrison Nguyen, Richard W. Morris, Anthony W. Harris, Mayuresh S. Korgoankar, Fabio Ramos
2018 J jnl
Towards real-time 3D continuous occupancy mapping using Hilbert maps.
Int. J. Robotics Res.
Vitor Guizilini, Fabio Ramos
2018 Misc conf
Unpaired Learning of Dense Visual Depth Estimators for Urban Environments.
CoRL
Vitor Guizilini, Fabio Ramos
2017 Misc conf
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping.
CoRL
Ransalu Senanayake, Fabio Ramos
2017 C conf
Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty.
ISRR
Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
2017 J jnl
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty.
CoRR
Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
2017 C conf
Functional Path Optimisation for Exploration in Continuous Occupancy Maps.
ISRR
Gilad Francis, Lionel Ott, Fabio Ramos
2017 J jnl
Learning to Navigate by Growing Deep Networks.
CoRR
Thushan Ganegedara, Lionel Ott, Fabio Ramos
2017 — conf
Learning to Reconstruct 3D Structures for Occupancy Mapping.
Robotics: Science and Systems
Vitor Guizilini, Fabio Ramos
2017 C conf
Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network.
ICMLA
Edmar R. S. De Rezende, Guilherme C. S. Ruppert, Tiago J. Carvalho, Fabio Ramos, Paulo L. de Geus
2017 A conf
Markovian jump linear systems-based filtering for visual and GPS aided inertial navigation system.
IROS
Roberto S. Inoue, Vitor Guizilini, Marco H. Terra, Fabio Ramos
2017 J jnl
Occupancy Map Building through Bayesian Exploration.
CoRR
Gilad Francis, Lionel Ott, Román Marchant, Fabio Ramos
2017 A* conf
Online learning for scene segmentation with laser-constrained CRFs.
ICRA
Charika De Alvis, Lionel Ott, Fabio Ramos
2017 J jnl
Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVs.
CoRR
Philippe Morere, Román Marchant, Fabio Ramos
2017 J jnl
Stochastic Functional Gradient Path Planning in Occupancy Maps.
CoRR
Gilad Francis, Lionel Ott, Fabio Ramos
2017 A* conf
Stochastic functional gradient for motion planning in continuous occupancy maps.
ICRA
Gilad Francis, Lionel Ott, Fabio Ramos
2016 A* conf
Alextrac: Affinity learning by exploring temporal reinforcement within association chains.
ICRA
Alex Bewley, Lionel Ott, Fabio Ramos, Ben Upcroft
2016 J jnl
Expected similarity estimation for large-scale batch and streaming anomaly detection.
Mach. Learn.
Markus Schneider, Wolfgang Ertel, Fabio Ramos
2016 A* conf
From grids to continuous occupancy maps through area kernels.
ICRA
Carlos E. O. Vido, Fabio Ramos
2016 J jnl
Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent.
Int. J. Robotics Res.
Fabio Ramos, Lionel Ott
2016 — conf
Kernel Embeddings of Longitudinal Data.
Australasian Conference on Artificial Intelligence
Darren Shen, Fabio Ramos
2016 A conf
Large-scale 3D scene reconstruction with Hilbert Maps.
IROS
Vitor Guizilini, Fabio Ramos
2016 — conf
Model Predictive Control of a Heavy-Duty Truck Based on Gaussian Process.
LARS/SBR
Fernando Henrique Morais Da Rocha, Valdir Grassi Jr., Vitor Campanholo Guizilini, Fabio Ramos
2016 A conf
Online Adaptation of Deep Architectures with Reinforcement Learning.
ECAI
Thushan Ganegedara, Lionel Ott, Fabio Ramos
2016 J jnl
Online Adaptation of Deep Architectures with Reinforcement Learning.
CoRR
Thushan Ganegedara, Lionel Ott, Fabio Ramos
2016 A* conf
Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression.
AAAI
Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Ramos
2016 J jnl
Simple Online and Realtime Tracking.
CoRR
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, Ben Upcroft
2015 C conf
Non-parametric consistency test for multiple-sensing-modality data fusion.
FUSION
Marcos Paul Gerardo-Castro, Thierry Peynot, Fabio Ramos, Robert Fitch
2015 J jnl
Online self-supervised learning for dynamic object segmentation.
Int. J. Robotics Res.
Vitor Campanholo Guizilini, Fabio Ramos
2015 A* conf
Variational Inference for Nonparametric Bayesian Quantile Regression.
AAAI
Sachinthaka Abeywardana, Fabio Ramos
2014 A* conf
Bayesian optimisation for active perception and smooth navigation.
ICRA
Jefferson R. Souza, Román Marchant, Lionel Ott, Denis Fernando Wolf, Fabio Ramos
2014 C conf
Dense motion segmentation for first-person activity recognition.
ICARCV
Kai Zhan, Vitor Guizilini, Fabio Ramos
2014 J jnl
Integer Programming Relaxations for Integrated Clustering and Outlier Detection.
CoRR
Lionel Ott, Linsey Xiaolin Pang, Fabio Ramos, David Howe, Sanjay Chawla
2014 A* conf
Multi-scale Conditional Random Fields for first-person activity recognition.
PerCom
Kai Zhan, Steven Faux, Fabio Ramos
2014 A conf
Sequential Bayesian Optimisation for Spatial-Temporal Monitoring.
UAI
Román Marchant, Fabio Ramos, Scott Sanner
2014 A conf
Transductive Learning for Multi-Task Copula Processes.
ECAI
Markus Schneider, Fabio Ramos
2014 J jnl
Transductive Learning for Multi-Task Copula Processes.
CoRR
Markus Schneider, Fabio Ramos
2013 — conf
Bayesian Fusion for Multi-Modal Aerial Images.
Robotics: Science and Systems
Alistair Reid, Fabio Ramos, Salah Sukkarieh
2013 A* conf
Bayesian Joint Inversions for the Exploration of Earth Resources.
IJCAI
Alistair Reid, Simon Timothy O'Callaghan, Edwin V. Bonilla, Lachlan McCalman, Tim Rawling, Fabio Ramos
2013 — conf
Laser-Radar Data Fusion with Gaussian Process Implicit Surfaces.
FSR
Marcos Paul Gerardo-Castro, Thierry Peynot, Fabio Ramos
2013 A* conf
Multi-modal estimation with kernel embeddings for learning motion models.
ICRA
Lachlan McCalman, Simon Timothy O'Callaghan, Fabio Ramos
2013 A conf
Multi-sensor clustering using Layered Affinity Propagation.
IROS
Lionel Ott, Fabio Ramos
2013 A* conf
Online self-supervised segmentation of dynamic objects.
ICRA
Vitor Guizilini, Fabio Ramos
2013 J jnl
Semi-parametric learning for visual odometry.
Int. J. Robotics Res.
Vitor Guizilini, Fabio Ramos
2013 J jnl
Unsupervised online learning for long-term autonomy.
Int. J. Robotics Res.
Lionel Ott, Fabio Ramos
2012 J jnl
A Bayesian approach for place recognition.
Robotics Auton. Syst.
Fabio Ramos, Ben Upcroft, Suresh Kumar, Hugh F. Durrant-Whyte
2012 C conf
Activity recognition from a wearable camera.
ICARCV
Kai Zhan, Fabio Ramos, Steven Faux
2012 A* conf
Automatic rock recognition from drilling performance data.
ICRA
Hang Zhou, Peter Hatherly, Sildomar T. Monteiro, Fabio Ramos, Florian Oppolzer, Eric Nettleton, Steve Scheding
2012 A conf
Bayesian optimisation for Intelligent Environmental Monitoring.
IROS
Román Marchant, Fabio Ramos
2012 — conf
Detecting stumbles with a single accelerometer.
EMBC
Mohamed Nabil Hajj Chehade, Pinar Ozisik, James Gomez, Fabio Ramos, Greg Pottie
2012 J jnl
Distributed Anytime MAP Inference
CoRR
Joop van de Ven, Fabio Ramos
2012 J jnl
Inferring laser-scan matching uncertainty with conditional random fields.
Robotics Auton. Syst.
Zuolei Sun, Joop van de Ven, Fabio Ramos, Xuchu Mao, Hugh F. Durrant-Whyte
2012 A* conf
Learning Non-Stationary Space-Time Models for Environmental Monitoring.
AAAI
Sahil Garg, Amarjeet Singh, Fabio Ramos
2012 — conf
Real-Time Clustering for Long-Term Autonomy.
ISER
Lionel Ott, Fabio Ramos
2012 A* conf
Semi-parametric models for visual odometry.
ICRA
Vitor Guizilini, Fabio Ramos
2012 A* conf
Unsupervised clustering of people from 'skeleton' data.
HRI
Adrian Ball, David C. Rye, Fabio Ramos, Mari Velonaki
2012 A* conf
Unsupervised incremental learning for long-term autonomy.
ICRA
Lionel Ott, Fabio Ramos
2011 A* conf
A comparison of unsupervised learning algorithms for gesture clustering.
HRI
Adrian Ball, David C. Rye, Fabio Ramos, Mari Velonaki
2011 A* conf
An adaptive data driven model for characterizing rock properties from Drilling data.
ICRA
Hang Zhou, Peter Hatherly, Fabio Ramos, Eric Nettleton
2011 A conf
Distributed Anytime MAP Inference.
UAI
Joop van de Ven, Fabio Ramos
2011 A* conf
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining.
IJCAI
Sildomar T. Monteiro, Joop van de Ven, Fabio Ramos, Peter Hatherly
2011 A* conf
Multi-Kernel Gaussian Processes.
IJCAI
Arman Melkumyan, Fabio Ramos
2011 A* conf
Multi-class classification of vegetation in natural environments using an Unmanned Aerial system.
ICRA
Alistair Reid, Fabio Ramos, Salah Sukkarieh
2011 A* conf
Multi-task learning of system dynamics with maximum information gain.
ICRA
Jose F. Zubizarreta-Rodriguez, Fabio Ramos
2011 A* conf
Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling.
ICRA
Shrihari Vasudevan, Fabio Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
2011 A* conf
Visual odometry learning for unmanned aerial vehicles.
ICRA
Vitor Guizilini, Fabio Ramos
2010 A* conf
An integrated probabilistic model for scan-matching, moving object detection and motion estimation.
ICRA
Joop van de Ven, Fabio Ramos, Gian Diego Tipaldi
2010 A* conf
Modeling and decision making in spatio-temporal processes for environmental surveillance.
ICRA
Amarjeet Singh, Fabio Ramos, Hugh F. Durrant-Whyte, William J. Kaiser
2010 J jnl
Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic.
IEEE Geosci. Remote. Sens. Lett.
Ali Kadkhodaie-Ilkhchi, Sildomar T. Monteiro, Fabio Ramos, Peter Hatherly
2009 A* conf
A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets.
IJCAI
Arman Melkumyan, Fabio Ramos
2009 — conf
Efficient Large Scale SLAM Including Data Association using the Combined Filter.
ECMR
Cesar Dario Cadena Lerma, Fabio Ramos, José Neira
2009 A conf
Motion clustering and estimation with conditional random fields.
IROS
Gian Diego Tipaldi, Fabio Ramos
2009 — ed.
Robotics: Science and Systems IV, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland, June 25-28, 2008
Robotics: Science and Systems
Oliver Brock, Jeff Trinkle, Fabio Ramos
2009 J jnl
Robotics: Science and Systems IV.
AI Mag.
Oliver Brock, Jeff Trinkle, Fabio Ramos
2008 — conf
Laser and Vision Based Outdoor Object Mapping.
Robotics: Science and Systems
Bertrand Douillard, Dieter Fox, Fabio Ramos
2007 C conf
A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition.
ISRR
Bertrand Douillard, Dieter Fox, Fabio Ramos
2006 — conf
Non-Gaussian State Estimation in an Outdoor Decentralised Sensor Network.
CDC
Ben Upcroft, Bertrand Douillard, Tobias Kaupp, Matthew Ridley, Lee-Ling S. Ong, Suresh Kumar, Tim Bailey, Fabio Ramos, Salah Sukkarieh, Hugh F. Durrant-Whyte
2006 C conf
Probabilistic Classification of Hyperspectral Images by Learning Nonlinear Dimensionality Reduction Mapping.
FUSION
X. Rosalind Wang, Suresh Kumar, Fabio Ramos, Tobias Kaupp, Ben Upcroft, Hugh F. Durrant-Whyte
2005 A conf
A statistical framework for natural feature representation.
IROS
Suresh Kumar, Fabio Ramos, Ben Upcroft, Hugh F. Durrant-Whyte