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Career

· Graduate Student (Researcher), Berkeley Artificial Intelligence Research Lab (BAIR) at UC Berkeley2018–
· Researcher in Laboratory for Automation Science and Engineering, UC Berkeley - Autolab

Publications (48)

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
Robotics: Science and Systems · 2017
1,348
cited
Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards
IEEE International Conference on Robotics and Automation · 2016
374
cited
DART: Noise Injection for Robust Imitation Learning
Conference on Robot Learning · 2017
289
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 Transfer Learning of Pick Points on Fabric for Robot Bed-Making
International Symposium of Robotics Research · 2018
98
cited
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation
IEEE International Conference on Robotics and Automation · 2022
92
cited
Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation
Workshop on the Algorithmic Foundations of Robotics · 2014
89
cited
Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations
2016 IEEE International Conference on Automation Science and Engineering (CASE) · 2016
84
cited
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression
2014 IEEE International Conference on Automation Science and Engineering (CASE) · 2014
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
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations
IEEE International Conference on Robotics and Automation · 2016
78
cited
SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces
IEEE International Conference on Robotics and Automation · 2016
72
cited
Untangling Dense Knots by Learning Task-Relevant Keypoints
Conference on Robot Learning · 2020
58
cited
Multi-armed bandit models for 2D grasp planning with uncertainty
2015 IEEE International Conference on Automation Science and Engineering (CASE) · 2015
42
cited
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes
IEEE International Conference on Robotics and Automation · 2019
34
cited
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies
Robotics: Science and Systems · 2021
31
cited
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
Conference on Robot Learning · 2021
30
cited
Using dVRK teleoperation to facilitate deep learning of automation tasks for an industrial robot
CASE · 2017
28
cited
Autonomously Untangling Long Cables
Robotics: Science and Systems · 2022
26
cited
Disentangling Dense Multi-Cable Knots
IEEE/RJS International Conference on Intelligent RObots and Systems · 2021
26
cited
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Michael Laskey | Researcher Profile | Sotabase | Sotabase