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; et al. (CoRR, 2019)

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; et al. (IROS, 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 (Robotics: Science and Systems, 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; et al. (CoRR, 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)

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 (CASE, 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 (CoRL, 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; et al. (ICRA, 2021)

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 (CASE, 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 (CoRL, 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 001; Vincent Vanhoucke; Ken Goldberg (IROS, 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 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)

IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors. - Gaurav Datta; Ryan Hoque; Anrui Gu; Eugen Solowjow; Ken Goldberg (CoRL, 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 (CoRL, 2023)

FogROS2-SGC: A ROS2 Cloud Robotics Platform for Secure Global Connectivity. - Kaiyuan Chen 001; Ryan Hoque; Karthik Dharmarajan; Edith LLontop; Simeon Adebola; Jeffrey Ichnowski; John Kubiatowicz; Ken Goldberg (IROS, 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 (Robotics: Science and Systems, 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)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning. - Ryan Hoque; Ajay Mandlekar; Caelan Reed Garrett; Ken Goldberg; Dieter Fox (IROS, 2024)

ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition. - Nataliya Nechyporenko; Ryan Hoque; Christopher Webb; Mouli Sivapurapu; Jian Zhang (CoRR, 2024)

Scalable Lifelong Imitation Learning for Robot Fleets - Ryan Hoque (2024)

Humanoid Policy Human Policy. - Ri-Zhao Qiu; Shiqi Yang; Xuxin Cheng; Chaitanya Chawla; Jialong Li 003; Tairan He; Ge Yan; David J. Yoon; Ryan Hoque; Lars Paulsen; Ge Yang; Jian Zhang; et al. (CoRR, 2025)

EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video. - Ryan Hoque; Peide Huang; David J. Yoon; Mouli Sivapurapu; Jian Zhang (CoRR, 2025)