Fabio Ramos

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 39

Top Topics

Predictive Control

Bayesian Inference

Robot Localization

Top Venues

IEEE Robotics Autom. Lett.

Publications

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 (2024)
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) (2024)
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 (2024)
Houston Warren, Fabio Ramos
Fast Fourier Bayesian Quadrature. AISTATS (2024)
Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following. L4DC (2024)
Houston Warren, Rafael Oliveira, Fabio Ramos
Stein Random Feature Regression. CoRR (2024)
Darrick Lee, Cameron Lerch, Fabio Ramos, Ian Abraham
Stein Variational Ergodic Search. CoRR (2024)
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) (2024)
Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Borges, Fabio Ramos
Learning to Simulate Tree-Branch Dynamics for Manipulation. CoRR (2023)
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 (2023)
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) (2023)
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 (2023)
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)
Jana Pavlasek, Stanley Robert Lewis, Balakumar Sundaralingam, Fabio Ramos, Tucker Hermans
Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference. CoRL (2023)
Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj Narang
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality. CoRR (2023)
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)
Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following. CoRR (2023)
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)
Isabella Huang, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Tucker Hermans, Dieter Fox
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets. CoRR (2023)
Weiming Zhi, Iretiayo Akinola, Karl Van Wyk, Nathan D. Ratliff, Fabio Ramos
Global and Reactive Motion Generation with Geometric Fabric Command Sequences. ICRA (2023)
Lucas Barcelos, Tin Lai, Rafael Oliveira, Paulo Borges, Fabio Ramos
Path Signatures for Diversity in Probabilistic Trajectory Optimisation. CoRR (2023)
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) (2022)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Adaptive Model Predictive Control by Learning Classifiers. CoRR (2022)
Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
Robot Learning From Randomized Simulations: A Review. Frontiers Robotics AI 9 (2022)
Rafael Oliveira, Louis C. Tiao, Fabio Ramos
Batch Bayesian optimisation via density-ratio estimation with guarantees. CoRR (2022)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Adaptive Model Predictive Control by Learning Classifiers. L4DC (2022)
Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. ICML (2022)
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
Diffeomorphic Transforms for Generalised Imitation Learning. L4DC (2022)
Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin
Accelerated Policy Learning with Parallel Differentiable Simulation. ICLR (2022)
Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. ICRA (2022)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. ICRA (2022)
Julia Tan, Ransalu Senanayake, Fabio Ramos
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. IROS (2022)
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
Bayesian iterative closest point for mobile robot localization. Int. J. Robotics Res. 41 (9-10) (2022)
Krishna Murthy Jatavallabhula, Miles Macklin, Dieter Fox, Animesh Garg, Fabio Ramos
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming. CoRL (2022)
Tin Lai, Fabio Ramos
LTR*: Rapid Replanning in Executing Consecutive Tasks with Lazy Experience Graph. IROS (2022)
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 (2022)
Julia Tan, Ransalu Senanayake, Fabio Ramos
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. CoRR (2022)
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation. IEEE Robotics Autom. Lett. 7 (2) (2022)
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)