Fabio Ramos
収録論文 90本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- A Hybrid Optimization Framework for Grasp Synthesis under Partial Observations2026/6/1
- Warp RL: Reshaping Base Policy Distributions for Dynamics Adaptation2026/6/1
- BayesFP: Posterior Estimation for Flow-Based Policies via Feynman-Kac Sampling2026/6/1
- Asymptotically Optimal Ergodic Coverage on Generalized Motion Fields2026/5/1
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies2026/4/1
- Diversity You Can Actually Measure: A Fast, Model-Free Diversity Metric for Robotics Datasets2026/3/1
- Harnessing Bounded-Support Evolution Strategies for Policy Refinement2025/11/1
- ScheduleStream: Temporal Planning with Samplers for GPU-Accelerated Multi-Arm Task and Motion Planning & Scheduling2025/11/1
- Refinery: Active Fine-tuning and Deployment-time Optimization for Contact-Rich Policies2025/10/1
- VLA-0: Building State-of-the-Art VLAs with Zero Modification2025/10/1
- Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills2025/10/1
- Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification2025/10/1
- The Reality Gap in Robotics: Challenges, Solutions, and Best Practices2025/10/1
- PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies2025/9/1
- Robot Policy Evaluation for Sim-to-Real Transfer: A Benchmarking Perspective2025/8/1
- Deformable Cluster Manipulation via Whole-Arm Policy Learning2025/7/1
- GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training2025/7/1
- Q-Guided Stein Variational Model Predictive Control via RL-informed Policy Prior2025/7/1
- RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies2025/6/1
- Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control2025/3/1
- HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation2025/2/1
- Grasping by parallel shape matching2024/12/1
- Aim My Robot: Precision Local Navigation to Any Object2024/11/1
- Open-World Task and Motion Planning via Vision-Language Model Generated Constraints2024/11/1
- Differentiable GPU-Parallelized Task and Motion Planning2024/11/1
- Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy2024/10/1
- FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty2024/8/1
- AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries2024/7/1
- Stein Variational Ergodic Search2024/6/1
- Dynamic Q-planning for Online UAV Path Planning in Unknown and Complex Environments2024/2/1
- Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following2023/12/1
- Stein Variational Belief Propagation for Multi-Robot Coordination2023/11/1
- STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent2023/10/1
- cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation2023/10/1
- Path Signatures for Diversity in Probabilistic Trajectory Optimisation2023/8/1
- Learning to Simulate Tree-Branch Dynamics for Manipulation2023/6/1
- IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality2023/5/1
- DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets2023/3/1
- Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills2022/7/1
- Accelerated Policy Learning with Parallel Differentiable Simulation2022/4/1
- Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty2022/3/1
- DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting2022/3/1
- Adaptive Model Predictive Control by Learning Classifiers2022/3/1
- L4KDE: Learning for KinoDynamic Tree Expansion2022/3/1
- Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation2022/2/1
- A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation2021/12/1
- Robot Learning from Randomized Simulations: A Review2021/11/1
- Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph2021/9/1
- Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation2021/9/1
- Parallelised Diffeomorphic Sampling-based Motion Planning2021/8/1
- BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym2021/7/1
- Probabilistic Trajectory Prediction with Structural Constraints2021/7/1
- Stein ICP for Uncertainty Estimation in Point Cloud Matching2021/6/1
- DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting2021/5/1
- STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation2021/4/1
- Dual Online Stein Variational Inference for Control and Dynamics2021/3/1
- Fast Uncertainty Quantification for Deep Object Pose Estimation2020/11/1
- Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements2020/11/1
- STReSSD: Sim-To-Real from Sound for Stochastic Dynamics2020/11/1
- Stein Variational Model Predictive Control2020/11/1
- A User's Guide to Calibrating Robotics Simulators2020/11/1
- Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control2020/10/1
- Learning to Plan Optimally with Flow-based Motion Planner2020/10/1
- Online Domain Adaptation for Occupancy Mapping2020/7/1
- Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems2020/5/1
- Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning2020/5/1
- Estimating Motion Uncertainty with Bayesian ICP2020/4/1
- Inferring the Material Properties of Granular Media for Robotic Tasks2020/3/1
- DISCO: Double Likelihood-free Inference Stochastic Control2020/2/1
- Reinforcement Learning with Probabilistically Complete Exploration2020/1/1
- Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment2019/12/1
- IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data2019/11/1
- Bayesian Local Sampling-based Planning2019/9/1
- Occ-Traj120: Occupancy Maps with Associated Trajectories2019/9/1
- OCTNet: Trajectory Generation in New Environments from Past Experiences2019/9/1
- Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction2019/7/1
- Speeding Up Iterative Closest Point Using Stochastic Gradient Descent2019/7/1
- Learning to Plan Hierarchically from Curriculum2019/6/1
- BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators2019/6/1
- Bayesian optimisation under uncertain inputs2019/2/1
- Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees2018/10/1
- Directional grid maps: modeling multimodal angular uncertainty in dynamic environments2018/9/1
- Functional Path Optimisation for Exploration in Continuous Occupancy Maps2018/5/1
- Learning to Race through Coordinate Descent Bayesian Optimisation2018/2/1
- Learning to Navigate by Growing Deep Networks2017/12/1
- Bayesian Optimisation for Safe Navigation under Localisation Uncertainty2017/9/1
- Stochastic Functional Gradient Path Planning in Occupancy Maps2017/5/1
- Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVs2017/3/1
- Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps2017/3/1
- Occupancy Map Building through Bayesian Exploration2017/3/1