Michael Laskey

According to our database1, Michael Laskey authored at least 36 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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On csauthors.net:

Bibliography

2022
Autonomously Untangling Long Cables.
CoRR, 2022

Efficiently Learning Single-Arm Fling Motions to Smooth Garments.
CoRR, 2022

Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning.
Int. J. Robotics Res., 2021

Planar Robot Casting with Real2Sim2Real Self-Supervised Learning.
CoRR, 2021

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Disentangling Dense Multi-Cable Knots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Untangling Dense Knots by Learning Task-Relevant Keypoints.
CoRR, 2020

Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Untangling Dense Knots by Learning Task-Relevant Keypoints.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making.
Proceedings of the Robotics Research, 2019

Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric.
CoRR, 2018

Derivative-Free Failure Avoidance Control for Manipulation using Learned Support Constraints.
CoRR, 2018

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

FLUIDS: A First-Order Lightweight Urban Intersection Driving Simulator.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

Learning Traffic Behaviors by Extracting Vehicle Trajectories from Online Video Streams.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017
Learning Robust Bed Making using Deep Imitation Learning with DART.
CoRR, 2017

Iterative Noise Injection for Scalable Imitation Learning.
CoRR, 2017

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics.
Proceedings of the Robotics: Science and Systems XIII, 2017

Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

DART: Noise Injection for Robust Imitation Learning.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Using dVRK teleoperation to facilitate deep learning of automation tasks for an industrial robot.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

Statistical data cleaning for deep learning of automation tasks from demonstrations.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

2015
Multi-armed bandit models for 2D grasp planning with uncertainty.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014
Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation.
Proceedings of the Algorithmic Foundations of Robotics XI, 2014

Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014


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