Michael Laskey
According to our database1,
Michael Laskey
authored at least 36 papers
between 2014 and 2022.
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Bibliography
2022
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Proceedings of the Robotics Research, 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
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
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
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
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
2019
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
CoRR, 2018
Derivative-Free Failure Avoidance Control for Manipulation using Learned Support Constraints.
CoRR, 2018
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
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
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
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
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
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