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Michael Laskey
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2020 – today
- 2022
- [c29]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: 8282-8289 - [c28]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: 10632-10640 - [c27]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: 36-51 - [c26]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 - [i18]Muhammad Zubair Irshad
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation. CoRR abs/2203.01929 (2022) - [i17]Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. CoRR abs/2206.08921 (2022) - [i16]Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen R. Novoseller, Jeffrey Ichnowski
Autonomously Untangling Long Cables. CoRR abs/2207.07813 (2022) - 2021
- [j1]Jonathan N. Lee
Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning. Int. J. Robotics Res. 40(10-11) (2021) - [c25]Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland:
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo. CoRL 2021: 938-948 - [c24]Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen R. Novoseller, Jeffrey Ichnowski
Disentangling Dense Multi-Cable Knots. IROS 2021: 3731-3738 - [c23]Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph Gonzalez
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies. Robotics: Science and Systems 2021 - [i15]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 abs/2106.02252 (2021) - [i14]Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland:
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo. CoRR abs/2106.16118 (2021) - [i13]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 abs/2107.08942 (2021) - [i12]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 abs/2111.04814 (2021) - 2020
- [c22]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: 782-800 - [c21]Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data. ICRA 2020: 9411-9418 - [c20]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: 11039-11045 - [i11]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 abs/2003.01835 (2020) - [i10]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 abs/2011.04999 (2020)
2010 – 2019
- 2019
- [c19]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: 1373-1379 - [c18]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: 275-290 - [i9]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 abs/1910.00127 (2019) - 2018
- [c17]Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations. CASE 2018: 270-277 - [c16]Hankun Zhao, Andrew Cui, Schuyler A. Cullen, Brian Paden, Michael Laskey, Ken Goldberg
FLUIDS: A First-Order Lightweight Urban Intersection Driving Simulator. CASE 2018: 697-704 - [c15]Xinhe Ren, David Wang, Michael Laskey, Ken Goldberg
Learning Traffic Behaviors by Extracting Vehicle Trajectories from Online Video Streams. CASE 2018: 1276-1283 - [c14]Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. WAFR 2018: 196-211 - [c13]Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani
A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. WAFR 2018: 212-227 - [i8]Jonathan Lee, Michael Laskey, Roy Fox, Ken Goldberg:
Derivative-Free Failure Avoidance Control for Manipulation using Learned Support Constraints. CoRR abs/1801.10321 (2018) - [i7]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 abs/1809.09810 (2018) - [i6]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 abs/1811.02184 (2018) - [i5]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 abs/1811.07489 (2018) - 2017
- [c12]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: 1-8 - [c11]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: 151-158 - [c10]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: 1142-1149 - [c9]Michael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg:
DART: Noise Injection for Robust Imitation Learning. CoRL 2017: 143-156 - [c8]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: 358-365 - [c7]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 - [i4]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 abs/1703.09312 (2017) - [i3]Michael Laskey, Jonathan Lee, Wesley Yu-Shu Hsieh, Richard Liaw, Jeffrey Mahler, Roy Fox, Ken Goldberg:
Iterative Noise Injection for Scalable Imitation Learning. CoRR abs/1703.09327 (2017) - [i2]Michael Laskey, Chris Powers, Ruta Joshi, Arshan Poursohi, Ken Goldberg:
Learning Robust Bed Making using Deep Imitation Learning with DART. CoRR abs/1711.02525 (2017) - 2016
- [c6]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: 827-834 - [c5]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: 462-469 - [c4]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: 1957-1964 - [i1]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 abs/1610.00850 (2016) - 2015
- [c3]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: 572-579 - 2014
- [c2]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: 532-539 - [c1]Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg
Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation. WAFR 2014: 515-533
Coauthor Index
aka: Ken Goldberg
aka: Joseph E. Gonzalez
aka: Jonathan N. Lee
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