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Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting

2022 International Conference on Robotics and Automation (ICRA), 2022, p.8282-8289

2022

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Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning

The International journal of robotics research, 2021-09, Vol.40 (10-11), p.1284-1305

2021

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Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations

2016 IEEE International Conference on Automation Science and Engineering (CASE), 2016, p.827-834

2016

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Disentangling Dense Multi-Cable Knots

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, p.3731-3738

2021

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On and Off-policy Deep Imitation Learning for Robotics

Laskey, Michael

2018

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Using dVRK teleoperation to facilitate deep learning of automation tasks for an industrial robot

2017 13th IEEE Conference on Automation Science and Engineering (CASE), 2017, p.1-8

2017

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Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, p.9411-9418

2020

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Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards

2016 IEEE International Conference on Robotics and Automation (ICRA), 2016, p.1957-1964

2016

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Efficiently Learning Single-Arm Fling Motions to Smooth Garments

Robotics Research, 2023, p.36-51

2023

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CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

2022 International Conference on Robotics and Automation (ICRA), 2022, p.10632-10640

2022

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Learning Traffic Behaviors by Extracting Vehicle Trajectories from Online Video Streams

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), 2018, p.1276-1283

2018

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Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations

2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, p.358-365

2017

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A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes

2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, p.11039-11045

2020

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Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making

Robotics Research, 2022, p.275-290

2022

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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, p.532-539

2014

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Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator

2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 2019, p.1373-1379

2019

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Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), 2018, p.270-277

2018

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SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces

2016 IEEE International Conference on Robotics and Automation (ICRA), 2016, p.462-469

2016

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FLUIDS: A First-Order Lightweight Urban Intersection Driving Simulator

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), 2018, p.697-704

2018

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An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations

2017 13th IEEE Conference on Automation Science and Engineering (CASE), 2017, p.151-158

2017

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Statistical data cleaning for deep learning of automation tasks from demonstrations

2017 13th IEEE Conference on Automation Science and Engineering (CASE), 2017, p.1142-1149

2017

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Multi-armed bandit models for 2D grasp planning with uncertainty

2015 IEEE International Conference on Automation Science and Engineering (CASE), 2015, p.572-579

2015

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A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning

Algorithmic Foundations of Robotics XIII, 2020, p.212-227

2020

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Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Algorithmic Foundations of Robotics XIII, 2020, p.196-211

2020

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Uncertainty Reasoning for the Semantic Web I: ISWC International Workshops, URSW 2005-2007 : Revised Selected and Invited Papers

2008

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Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting

Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning

Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations

Disentangling Dense Multi-Cable Knots

On and Off-policy Deep Imitation Learning for Robotics

Using dVRK teleoperation to facilitate deep learning of automation tasks for an industrial robot

Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards

Efficiently Learning Single-Arm Fling Motions to Smooth Garments

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

Learning Traffic Behaviors by Extracting Vehicle Trajectories from Online Video Streams

Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations

A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes

Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making

Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression

Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator

Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations

SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces

FLUIDS: A First-Order Lightweight Urban Intersection Driving Simulator

An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations

Statistical data cleaning for deep learning of automation tasks from demonstrations

Multi-armed bandit models for 2D grasp planning with uncertainty

A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Uncertainty Reasoning for the Semantic Web I: ISWC International Workshops, URSW 2005-2007 : Revised Selected and Invited Papers

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