Ryan Hoque

Orcid: 0000-0002-6457-2951

According to our database1, Ryan Hoque authored at least 20 papers between 2019 and 2024.

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Bibliography

2024
IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
From Occlusion to Insight: Object Search in Semantic Shelves using Large Language Models.
CoRR, 2023

Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

FogROS2-SGC: A ROS2 Cloud Robotics Platform for Secure Global Connectivity.
IROS, 2023

Semantic Mechanical Search with Large Vision and Language Models.
Proceedings of the Conference on Robot Learning, 2023

IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors.
Proceedings of the Conference on Robot Learning, 2023

2022
Learning Self-Supervised Representations from Vision and Touch for Active Sliding Perception of Deformable Surfaces.
CoRR, 2022

VisuoSpatial Foresight for physical sequential fabric manipulation.
Auton. Robots, 2022

Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision.
Proceedings of the Conference on Robot Learning, 2022

Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects.
CoRR, 2020

Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images.
CoRR, 2020

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation.
Proceedings of the Robotics: Science and Systems XVI, 2020

Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Deep Imitation Learning of Sequential Fabric Smoothing Policies.
CoRR, 2019


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