Sotabase

Career

· Research Scientist, Meta2025–
· Research Scientist, Apple2024–2025
· Research Intern, NVIDIA2023–2023
· PhD in Computer Science, UC Berkeley2020–2024
· M.S. in Electrical Engineering and Computer Sciences, UC Berkeley2019–2020
· B.S. in Electrical Engineering and Computer Sciences, UC Berkeley2016–2019
· PhD in Computer Science, UC Berkeley College of Engineering2016–2024

Publications (27)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
134
cited
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
Robotics: Science and Systems · 2020
106
cited
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
Conference on Robot Learning · 2021
101
cited
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
IEEE International Conference on Robotics and Automation · 2020
83
cited
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) · 2021
61
cited
Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Robotics: Science and Systems · 2022
51
cited
VisuoSpatial Foresight for physical sequential fabric manipulation
Autonomous Robots · 2021
43
cited
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision
Conference on Robot Learning · 2022
38
cited
Deep Imitation Learning of Sequential Fabric Smoothing Policies
arXiv.org · 2019
30
cited
Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images
arXiv.org · 2020
30
cited
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
arXiv.org · 2024
30
cited
IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
IEEE/RJS International Conference on Intelligent RObots and Systems · 2024
29
cited
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research
IEEE/RJS International Conference on Intelligent RObots and Systems · 2022
27
cited
FogROS2-SGC: A ROS2 Cloud Robotics Platform for Secure Global Connectivity
IEEE/RJS International Conference on Intelligent RObots and Systems · 2023
21
cited
Learning Self-Supervised Representations from Vision and Touch for Active Sliding Perception of Deformable Surfaces
arXiv.org · 2022
11
cited
Semantic Mechanical Search with Large Vision and Language Models
Conference on Robot Learning · 2023
10
cited
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) · 2022
9
cited
Towards Embodiment Scaling Laws in Robot Locomotion
arXiv.org · 2025
9
cited
Sotabase
Ryan Hoque | Researcher Profile | Sotabase | Sotabase