Michael Laskey

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 45

Top Topics

Imitation Learning

Top Venues

Publications

Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. ICRA (2022)
Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. CoRR (2022)
Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. ISRR (2022)
Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen R. Novoseller, Jeffrey Ichnowski, Alejandro Escontrela, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg
Autonomously Untangling Long Cables. CoRR (2022)
Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen R. Novoseller, Jeffrey Ichnowski, Alejandro Escontrela, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg
Autonomously Untangling Long Cables. Robotics: Science and Systems (2022)
Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg
Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting. ICRA (2022)
Muhammad Zubair Irshad, Thomas Kollar, Michael Laskey, Kevin Stone, Zsolt Kira
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. CoRR (2022)
Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen R. Novoseller, Jeffrey Ichnowski, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg
Disentangling Dense Multi-Cable Knots. CoRR (2021)
Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo. CoRR (2021)
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph Gonzalez, Ken Goldberg
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies. Robotics: Science and Systems (2021)
Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg
Planar Robot Casting with Real2Sim2Real Self-Supervised Learning. CoRR (2021)
Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo. CoRL (2021)
Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg
Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning. Int. J. Robotics Res. 40 (10-11) (2021)
Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen R. Novoseller, Jeffrey Ichnowski, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg
Disentangling Dense Multi-Cable Knots. IROS (2021)
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies. CoRR (2021)
Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Minho Hwang, Vainavi Viswanath, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg
Untangling Dense Knots by Learning Task-Relevant Keypoints. CoRR (2020)
Max Bajracharya, James Borders, Daniel M. Helmick, Thomas Kollar, Michael Laskey, John Leichty, Jeremy Ma, Umashankar Nagarajan, Akiyoshi Ochiai, Josh Petersen, Krishna Shankar, Kevin Stone, Yutaka Takaoka
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes. ICRA (2020)
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data. CoRR (2020)
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data. ICRA (2020)
Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Vainavi Viswanath, Michael Laskey, Joseph Gonzalez, Ken Goldberg
Untangling Dense Knots by Learning Task-Relevant Keypoints. CoRL (2020)
Max Bajracharya, James Borders, Daniel M. Helmick, Thomas Kollar, Michael Laskey, John Leichty, Jeremy Ma, Umashankar Nagarajan, Akiyoshi Ochiai, Josh Petersen, Krishna Shankar, Kevin Stone, Yutaka Takaoka
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes. CoRR (2019)
Benno Staub, Ajay Kumar Tanwani, Jeffrey Mahler, Michel Breyer, Michael Laskey, Yutaka Takaoka, Max Bajracharya, Roland Siegwart, Ken Goldberg
Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator. CASE (2019)
Daniel Seita, Nawid Jamali, Michael Laskey, Ajay Kumar Tanwani, Ron Berenstein, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making. ISRR (2019)
Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg
Derivative-Free Failure Avoidance Control for Manipulation using Learned Support Constraints. CoRR (2018)
Hankun Zhao, Andrew Cui, Schuyler A. Cullen, Brian Paden, Michael Laskey, Ken Goldberg
FLUIDS: A First-Order Lightweight Urban Intersection Driving Simulator. CASE (2018)
Xinhe Ren, David Wang, Michael Laskey, Ken Goldberg
Learning Traffic Behaviors by Extracting Vehicle Trajectories from Online Video Streams. CASE (2018)
Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg
A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. WAFR (2018)
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. WAFR (2018)
Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations. CASE (2018)
Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg
Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric. CoRR (2018)
Jonathan Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg
A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. CoRR (2018)
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. CoRR (2018)
Michael Laskey, Chris Powers, Ruta Joshi, Arshan Poursohi, Ken Goldberg
Learning Robust Bed Making using Deep Imitation Learning with DART. CoRR (2017)
Caleb Chuck, Michael Laskey, Sanjay Krishnan, Ruta Joshi, Roy Fox, Ken Goldberg
Statistical data cleaning for deep learning of automation tasks from demonstrations. CASE (2017)
Michael Laskey, Jonathan Lee, Wesley Yu-Shu Hsieh, Richard Liaw, Jeffrey Mahler, Roy Fox, Ken Goldberg
Iterative Noise Injection for Scalable Imitation Learning. CoRR (2017)
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, Ken Goldberg
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics. CoRR (2017)
Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin G. Jamieson, Anca D. Dragan, Ken Goldberg
Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. ICRA (2017)
Carolyn Chen, Sanjay Krishnan, Michael Laskey, Roy Fox, Ken Goldberg
An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations. CASE (2017)
Jacky Liang, Jeffrey Mahler, Michael Laskey, Pusong Li, Ken Goldberg
Using dVRK teleoperation to facilitate deep learning of automation tasks for an industrial robot. CASE (2017)
Michael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg
DART: Noise Injection for Robust Imitation Learning. CoRL (2017)
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, Ken Goldberg
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics. Robotics: Science and Systems (2017)
Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin G. Jamieson, Anca D. Dragan, Kenneth Y. Goldberg
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations. CoRR (2016)
Michael Laskey, Sam Staszak, Wesley Yu-Shu Hsieh, Jeffrey Mahler, Florian T. Pokorny, Anca D. Dragan, Ken Goldberg
SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces. ICRA (2016)
Michael Laskey, Jonathan Lee, Caleb Chuck, David V. Gealy, Wesley Yu-Shu Hsieh, Florian T. Pokorny, Anca D. Dragan, Ken Goldberg
Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations. CASE (2016)
Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg
Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. ICRA (2016)
Michael Laskey, Jeffrey Mahler, Zoe McCarthy, Florian T. Pokorny, Sachin Patil, Jur P. van den Berg, Danica Kragic, Pieter Abbeel, Ken Goldberg
Multi-armed bandit models for 2D grasp planning with uncertainty. CASE (2015)
Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel
Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation. WAFR (2014)
Jeffrey Mahler, Sanjay Krishnan, Michael Laskey, Siddarth Sen, Adithyavairavan Murali, Ben Kehoe, Sachin Patil, Jiannan Wang, Mike Franklin, Pieter Abbeel, Kenneth Y. Goldberg
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression. CASE (2014)