Sotabase

Career

· Senior Research Scientist, Ambi Robotics2021–
· PhD Student, UC Berkeley AUTOLAB, Berkeley AI Research (BAIR) Lab, RISE Lab2018–2022

Publications (0)

Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones
IEEE Robotics and Automation Letters · 2020
272
cited
Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning
IEEE International Conference on Robotics and Automation · 2017
144
cited
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data
IEEE International Conference on Robotics and Automation · 2020
137
cited
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
134
cited
Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
IEEE Robotics and Automation Letters · 2019
104
cited
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
IEEE International Conference on Robotics and Automation · 2020
83
cited
SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards
Int. J. Robotics Res. · 2018
74
cited
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) · 2021
61
cited
Untangling Dense Knots by Learning Task-Relevant Keypoints
Conference on Robot Learning · 2020
58
cited
Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Fiducial Sensing and Recurrent Neural Networks
IEEE Robotics and Automation Letters · 2020
53
cited
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision
Conference on Robot Learning · 2022
38
cited
Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles
IEEE International Conference on Robotics and Automation · 2021
37
cited
Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation
IEEE International Conference on Robotics and Automation · 2020
36
cited
Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot
International Symposium on Medical Robotics · 2020
34
cited
Automated Extraction of Surgical Needles from Tissue Phantoms
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) · 2019
33
cited
Automating Surgical Peg Transfer: Calibration With Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans
IEEE Transactions on Automation Science and Engineering · 2020
31
cited
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies
Robotics: Science and Systems · 2021
31
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
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
Conference on Robot Learning · 2021
30
cited
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