Ryan Hoque

According to our database, Ryan Hoque authored at least 18 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Satvik Sharma, Kaushik Shivakumar, Huang Huang, Ryan Hoque, Alishba Imran, Brian Ichter, Ken Goldberg

CoRR, 2023

Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features.

Justin Kerr, Huang Huang, Albert Wilcox, Ryan Hoque, Jeffrey Ichnowski, Roberto Calandra, Ken Goldberg

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

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

Kaiyuan Chen, Ryan Hoque, Karthik Dharmarajan, Edith LLontop, Simeon Adebola, Jeffrey Ichnowski, John Kubiatowicz, Ken Goldberg

IROS, 2023

Semantic Mechanical Search with Large Vision and Language Models.

Satvik Sharma, Huang Huang, Kaushik Shivakumar, Lawrence Yunliang Chen, Ryan Hoque, Brian Ichter, Ken Goldberg

Proceedings of the Conference on Robot Learning, 2023

IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors.

Gaurav Datta, Ryan Hoque, Anrui Gu, Eugen Solowjow, Ken Goldberg

Proceedings of the Conference on Robot Learning, 2023

2022

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

Justin Kerr, Huang Huang, Albert Wilcox, Ryan Hoque, Jeffrey Ichnowski, Roberto Calandra, Ken Goldberg

CoRR, 2022

VisuoSpatial Foresight for physical sequential fabric manipulation.

Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Auton. Robots, 2022

Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research.

Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong, Johnny Lee, Andy Zeng, Vincent Vanhoucke, Ken Goldberg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision.

Ryan Hoque, Lawrence Yunliang Chen, Satvik Sharma, Karthik Dharmarajan, Brijen Thananjeyan, Pieter Abbeel, Ken Goldberg

Proceedings of the Conference on Robot Learning, 2022

Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies.

Satvik Sharma, Ellen R. Novoseller, Vainavi Viswanath, Zaynah Javed, Rishi Parikh, Ryan Hoque, Ashwin Balakrishna, Daniel S. Brown, Ken Goldberg

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.

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning.

Ryan Hoque, Ashwin Balakrishna, Ellen R. Novoseller, Albert Wilcox, Daniel S. Brown, Ken Goldberg

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning.

Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg

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.

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Ryan Hoque, Joseph E. Gonzalez, Ken Goldberg

CoRR, 2020

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

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

CoRR, 2020

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation.

Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Proceedings of the Robotics: Science and Systems XVI, 2020

Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor.

Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Deep Imitation Learning of Sequential Fabric Smoothing Policies.

Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg

CoRR, 2019