Sotabase

Career

· Assistant Professor, University of Southern California2023–
· Ph.D. student in Computer Science, UC Berkeley
· Researcher at Berkeley Artificial Intelligence Research (BAIR) Lab, UC Berkeley
· Researcher, UC Berkeley AUTOLAB

Publications (39)

Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks
IEEE International Conference on Robotics and Automation · 2020
186
cited
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
134
cited
Risk Averse Robust Adversarial Reinforcement Learning
IEEE International Conference on Robotics and Automation · 2019
108
cited
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
Robotics: Science and Systems · 2020
106
cited
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making
International Symposium of Robotics Research · 2018
98
cited
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
IEEE International Conference on Robotics and Automation · 2020
83
cited
Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting
IEEE International Conference on Robotics and Automation · 2021
82
cited
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure
IEEE International Conference on Robotics and Automation · 2017
74
cited
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds
Conference on Robot Learning · 2022
72
cited
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) · 2021
61
cited
Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables
IEEE International Conference on Robotics and Automation · 2020
54
cited
Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Fiducial Sensing and Recurrent Neural Networks
IEEE Robotics and Automation Letters · 2020
53
cited
An Efficient Minibatch Acceptance Test for Metropolis-Hastings
Conference on Uncertainty in Artificial Intelligence · 2016
45
cited
AutoBag: Learning to Open Plastic Bags and Insert Objects
IEEE International Conference on Robotics and Automation · 2022
45
cited
VisuoSpatial Foresight for physical sequential fabric manipulation
Autonomous Robots · 2021
43
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
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
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
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Daniel Seita | Researcher Profile | Sotabase | Sotabase